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Senior Python AI/ML Engineer| Hybrid| Full-time, P.R.GLOlinks Consulting Private Limited

Bangalore, Pune, India

We are seeking a highly skilled and innovative Python / AI Engineer to join our team and help us build the next generation of AI-powered enterprise systems. We are actively investing in LLMs, agentic workflows, and applied AI systems, but much of this potential is still untapped. Today, our AI initiatives are fragmented—PoCs exist in silos, LLM integrations are early-stage, and there is no unified intelligence layer across the application landscape. We’re looking for someone who can change that.

You will sit at the intersection of engineering, R&D, and business teams, turning AI experimentation into production-grade systems that deliver measurable impact. This is not a “model training-only” role—you will be expected to design, build, and ship end-to-end AI solutions.

The Role You will be the first deep technical owner responsible for turning our AI ambition into real, working systems that drive business outcomes.

Build and productionize AI systems — Design and implement LLM-powered applications, AI agents, and intelligent automation workflows that integrate directly into our core product ecosystem.

Develop PoCs and scale them into production — Rapidly prototype AI/ML solutions, validate feasibility with stakeholders, and evolve them into scalable, reliable services.

Integrate LLMs into real business workflows — Work with APIs, orchestration frameworks, and model providers to embed LLM capabilities across applications (chat, reasoning, summarization, retrieval, and automation use cases).

Design intelligent systems, not just models — Focus on end-to-end architecture: data flow, prompt orchestration, memory, evaluation, guardrails, and feedback loops.

Bridge R&D and engineering — Translate research ideas and business problems into working AI systems that can be deployed, monitored, and improved iteratively.

Drive AI adoption across the organization — Collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities where AI can meaningfully improve efficiency or decision-making.

Skills required:

1.Minimum 8+ years of experience in AI/ML development.

2.Advanced proficiency in Python.

3.Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch).

4.Expertise in at least one LLM (e.g., GPT, Claude, LLaMA).

5.Solid foundation in Data Science and statistical modeling.

6.Experience with Agentic Workflows using LangChain-based agents.

7.Hands-on experience with LangGraph (e.g., hackathons or MCPs).

8.Deep understanding of fine-tuning techniques for LLMs.

9.Hands-on experience with Transformer architecture and its evolution from earlier models.

Responsibilities:

1.Design and develop PoCs and present them to business stakeholders.

2.Build and deploy innovative AI solutions using state-of-the-art models.

3.Integrate LLMs into existing and new applications.

4.Develop new functionalities within R&D applications.

5.Promote and implement best process practices across AI development workflows.

Founding ML/Data Scientist (Remote, UK), MyDataValue

Remote - London UK, United Kingdom

We're an AI-driven hospitality tech platform helping vacation rental owners automate their revenue on Booking.com and Airbnb.

We sit on Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties — and right now we barely use it. Our agent is rules-based where it should be data-driven, and our promotions engine has no model behind it. We're looking for a founding ML/Data Scientist to change that. You'll turn dormant data into a smarter agent and a compounding moat.

The Role

You'll be the first person to seriously dig into our data, find the signals that drive revenue, and work with engineering to make the agent act on them.

Find what matters — dig through Booking.com, Airbnb, and competitive data to separate signal from noise.
Separate cause from correlation — when a promotion drives a booking, was it causal? When occupancy drops, is it pricing, seasonality, or competition? We want rigorous answers, not guesses.
Turn insights into revenue — translate findings into logic the agent can use, measurably better than a human's.
Shape the data strategy — decide what to track, what to enrich, and where the highest-value opportunities are.
Ship to production — this isn't a notebooks role. You'll work inside our Django + ClickHouse stack alongside the engineering team.

Logistics Remote-first for UK-based candidates. Expect to be in London for WeWork sessions a few days a month, flexibly, for onboarding, planning, and product work.

Interview Process 1. 30-min non-technical call with the CTO

Take-home data challenge using a sample of real OTA data
1-hour deep dive on your submission with the founding team
In-person meeting with both founders
Offer

Why This Role

Unique data — Booking.com private API data, Airbnb channel data, and scraped competitive pricing. This dataset doesn't exist at most companies.
Real impact — your models drive revenue decisions for thousands of properties.
High equity for our stage.
A compounding moat — every property we add makes the data richer and the models better.

Salary £70k–£100k · Equity 0.5%–1%.

Who You Are

A real data scientist who reaches for statistics and experiments first, and knows when a result is significant versus noise. Strong with time series.
Causal by instinct — you don't confuse correlation with causation. You can design holdouts and A/B tests, and reason about confounders when a clean experiment isn't possible.
Comfortable in the mess — real OTA data is dirty, sparse, and seasonal. You wrangle it, find the signal, and build features that predict revenue.
Fluent in modelling — forecasting, uplift and causal models, and the judgement to pick the simplest thing that works.
Ships to production — not a notebooks role. You write clean, deployable Python (pandas, NumPy, scikit-learn) and get your models live in our Django and ClickHouse stack.
A product thinker who cares about revenue impact, not what's technically interesting.
AI-first — you use AI coding tools with multiple agents to ship faster, ideally pushing into self-learning ML or agentic workflows. If you don't already use frontier AI tools, this isn't the role for you.

Skills: Python · pandas · NumPy · scikit-learn · Time Series · Causal Inference · Forecasting · Experimentation · PostgreSQL · ClickHouse · Django · AI agents

Tech Lead (Python) | Remote – LATAM | Full-time, Crehana

LATAM, LATAM, LATAM

Crehana is a B2B SaaS platform powered by AI that delivers integrated talent management solutions to clients across Latin America — skills, learning, performance, and career development in one place. Our mission: make people development universal.

We're looking for a hands-on Tech Lead. Someone who leads by example: you set the technical direction, mentor your team, and when the moment calls for it, you roll up your sleeves and write code.

What you'll own:

Architecture and technical decisions for scalable backend services
Code quality standards, code reviews, and CI/CD practices
Mentorship and growth of your engineering team
Collaboration with Product and DevOps to ship impactful features
Stability, security, and evolution of our platform

Tech stack:

Python + FastAPI (required)
Docker / Kubernetes / microservices
AWS, GCP, or Azure
PostgreSQL, MySQL, MongoDB
REST APIs / GraphQL (nice to have)
Terraform (nice to have)

Apply: https://www.crehana.com/p/crehana/jobs/2ca97417-9f01-48a6-a426-7950565e7672/

We're looking for a hands-on leader who still writes code when it matters. This could be someone who has already led engineering teams working with Python and modern backend stacks — or an experienced engineer with deep technical expertise who is ready to step into a leadership role for the first time.

Must-have

Experience leading engineering teams (junior and mid-level), or a seasoned engineer ready to take that next step
Strong Python proficiency with FastAPI
Hands-on experience with microservices, Docker, and Kubernetes
CI/CD pipelines and automated testing practices
SQL and NoSQL databases: PostgreSQL, MySQL, MongoDB
Cloud platforms: AWS, GCP, or Azure
Security awareness and compliance standards
Strong communication, collaboration, and problem-solving skills
Comfortable with agile methodologies (Scrum, Kanban)

Nice to have

RESTful API design and/or GraphQL
Terraform for infrastructure as code

Principal Modeler – Model Development, Metropolitan Transportation Commission (MTC)

San Francisco, CA, United States

Metropolitan Transportation Commission (MTC) San Francisco, CA

Principal Modeler – Model Development

$152,501.86 - $193,409.22 Annually

DEADLINE TO APPLY IS SUNDAY, JUNE 14, 2026, AT 11:55 PM

The Metropolitan Transportation Commission (MTC) is the transportation planning, financing, and coordinating agency for the nine-county San Francisco Bay Area. MTC is the federally designated Metropolitan Planning Organization (MPO) and the state designated Regional Transportation Planning Agency (RTPA) for the nine-county San Francisco Bay Area. MTC provides services to the Association of Bay Area Governments (ABAG). For more information about MTC, visit www.mtc.ca.gov.

EQUAL OPPORTUNITY EMPLOYER

The Metropolitan Transportation Commission is an equal-opportunity, non-discriminatory employer. MTC provides all employees and applicants with an equal opportunity in every aspect of the employment experience regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, physical handicap, medical condition or marital status.

DEADLINE TO APPLY IS SUNDAY, JUNE 14, 2026, AT 11:55 PM

IF YOU ARE INTERESTED, PLEASE APPLY IMMEDIATELY

A resume is highly encouraged with your application.

Be ready to rethink your assumptions about the public sector. Dedicated and motivated colleagues? Beautiful, high amenity building for on-site work and collaboration? Flexible schedules and hybrid work options? Yes, yes, and yes!

ABOUT THE SECTION

The Regional Planning Program section at MTCABAG is a multidisciplinary team that applies data-driven planning to improve the trajectory of the San Francisco Bay Area. One of our core deliverables is Plan Bay Area, which we update every four years. This long-range plan lays out a set of strategies for how to achieve a region that is affordable, connected, diverse, healthy and vibrant for all. In developing the plan, our team takes on some of the most difficult and important challenges facing the region: how to make living in the region affordable for existing and future residents, how to create a safe and effective transportation system, and how to reduce greenhouse gas emissions. The section consists of four teams: Major Plans, Transportation Planning, Housing and Local Planning, and Forecasting/Modeling and Surveys.

This principal position is within the Forecasting/Modeling and Surveys (FMS) team, which conducts data analysis and develops and applies modeling tools to analyze the impacts of potential strategies for Plan Bay Area. Our team strives to create quality modeling tools that embody our sections goals for planning excellence; we emphasize transparency by creating open-source models, and we value collaboration with other agencies and partners in developing shared resources. The FMS team focuses on the application of economic models, urban development models, and travel models, including developing new features for some of these models as new analysis needs arise. FMS also conducts regular travel diary surveys and transit passenger surveys to inform these tools and other research questions of interest to the agency.

ABOUT THE ROLE

The Principal Modeler in Model Development will lead development of our travel modeling tools to assess our region’s future and to evaluate potential strategies and policies to improve quality of life. In this role, the Principal Modeler will manage a consulting team working in travel model development, developing both major and minor features as needed for the travel model and associated tools. This will involve project management as well as hands-on development work. The Principal Modeler will also be involved in developing other modeling and modeling-related tools relevant to long-range planning, including land use forecasting models, population synthesis tools, and others. This role will also involve working with internal and external stakeholders to prioritize feature development and bug fixes for these tools. Finally, this role will include mentoring staff in technical development, representing MTC before a variety of groups, agencies, organizations, elected officials, and the public, requiring the ability to communicate effectively about technical topics with non-technical stakeholders; and performing other job related duties as required.

Responsibilities

The development and release of future versions of MTC’s modeling tools, including: • Implementing or updating features • Managing a consultant team in model development and network development tools. This includes reviewing pull requests and deliverables; project and budget management; discussing and resolving budget issues with appropriate staff and responsible agencies; negotiating, preparing and administering contracts, proposals, task orders and agreements. • Model calibration, validation and documentation • Presenting Model Development progress and features to stakeholders within the agency and with agency partners.

Qualifications

KNOWLEDGE, SKILLS, & ABILITIES

Required

Deep knowledge of activity-based travel modeling and network modeling
Software development skills in python to implement modeling functionality, as well as to collect, clean, code and analyze data
Interpersonal skills and an ability to work in a project and team environment

Desired

Experience synthesizing technical information to facilitate good policy and planning decisions
Data visualization experience
Knowledge of the complexity of the transportation system and land use/transportation issues facing the San Francisco Bay Area

MINIMUM QUALIFICATIONS

Any combination of training and experience that would provide the required knowledge, skills, and abilities listed. A typical way to obtain the required qualifications would be:

Education and Experience: Equivalent to a bachelor’s degree from an accredited college or university with major coursework in planning, civil engineering, environmental science, communications, business or public administration, or a related field and seven (7) years of increasingly responsible professional experience in a field related to assigned area of responsibility

PREFERRED QUALIFICATIONS

Education: A Bachelor's degree in an appropriate field related to the area of assignment, such as transportation planning, city and regional planning; transportation engineering or modeling, financial management, economics, business or public administration. A Master's degree is desirable.

Applicants with a degree issued from an institution outside the United States must have their transcripts evaluated by an academic accrediting service and provide proof of equivalency along with their application.

Senior Python & SAS Developer (Data Modernization), Illumen Group Inc.

Suitland, MD, United States

LightFront is seeking a Senior Python & SAS Developer (Data Modernization) to support a long-term Census contract. This role will focus on modernizing legacy federal statistical and survey processing workflows by translating existing logic into scalable Python-based solutions using tools such as pandas, PySpark, and modern data architecture patterns.

This is a backend/data modernization role, not a traditional web application role. The developer will support legacy system analysis, backend data processing, database logic optimization, ETL and batch workflows, and cloud-based processing patterns. The work requires someone who is comfortable stepping into established systems, understanding how existing workflows operate, and carefully translating that logic into cleaner, more maintainable solutions without disrupting current operations.

This role will be hired initially as a 1099 contractor under LightFront, a joint venture between Illumen Group and Spatial Front, Inc. (SFI), with the potential to convert to full-time employment in the new fiscal year. The role is remote after onboarding, but the selected candidate must report to the Census office in Maryland to retrieve equipment and complete PIV-related onboarding. If the candidate is not local, reimbursable travel will be coordinated after onboarding begins.

Clearance / eligibility:

Candidates must be U.S. Citizens due to federal contract requirements and must be able to obtain a Public Trust clearance. The clearance process typically takes 6–8 weeks, and candidates must be comfortable with that process and timeline before moving forward. The selected candidate will also need to report to the Census office in Maryland for equipment and PIV pickup after onboarding has started. Travel costs will be reimbursed for non-local candidates.

The ideal candidate will have a strong Python background, with at least 4 years of experience in data processing, backend systems, or similar technical environments. This role requires someone who has worked with legacy systems and can translate existing business or data logic into Python-based solutions using tools such as pandas, PySpark, or similar libraries. Candidates should be comfortable working through unclear, messy, or long-standing workflows where the first step is understanding the current logic before rewriting anything.

Candidates should also have at least 4 years of database experience, including writing, refactoring, or optimizing stored procedures, backend logic, and complex SQL. Experience with PostgreSQL, PL/pgSQL, Oracle PL/SQL, or similar database environments is important. The role also requires experience with data pipelines, batch processing, ETL workflows, job orchestration, troubleshooting, and performance tuning.

AWS experience is also needed, ideally with services such as Lambda, SQS, SNS, IAM, or similar cloud services used in backend or data workflow environments. Linux experience is required, as the role will involve working in Linux-based development and processing environments. Experience with serverless architecture, Docker, Kubernetes, PySpark, R, or hands-on Base SAS production workflows is helpful, but not required.

The strongest fit will be someone who has worked with legacy data systems, can translate existing logic rather than only build new features, is comfortable operating in less structured environments, and can balance support for older systems with modern Python, database, and cloud-based workflows.

Founding Engineer, MyDataValue

London, UK

We're building the future of Revenue Management. AI agents that give short-term rental operators and independent hotels more money for less effort. We integrate directly with Booking.com, Airbnb, and PMS platforms via deep private API connections.

The role: This is a flexible Hybrid role in London. You'll be the second engineering hire, working directly alongside Martin. Everything is on the table: backend systems, React frontend, Chrome extension, data pipelines, agent orchestration, and prompt engineering. You'll ship full features end-to-end, not tickets. We ship fast using Claude Code and AI-assisted development daily. If you're already running multiple PRs in parallel with AI tools, you'll feel right at home.

What we offer: £80K–£90K base salary plus up to 1% equity (DOE). This is a founding role, you'll have real ownership of the product and the company. You'll shape technical direction, product decisions, and company culture from the ground floor.

If you want to build something real with a small team that's already winning customers and growing fast, where your code ships to production the same day and your decisions shape the company then let's talk.

What we're looking for: Previous startup or founder experience, you've built something from zero and know what that demands. Very strong Python (Django/Celery) and React. Comfortable across the full stack, backend, frontend, infra, data. AI agent development, prompt engineering, or data pipeline experience is a strong plus. You need to be based in London or able to come to our Canary Wharf office 2 days a week. We can't sponsor visas.

Stack: Django, Celery, PostgreSQL, React, Chrome Extensions, Claude Code.

Senior Back-End Python Engineer - FULLY REMOTE-WORLDWIDE, ActivePrime, Inc.

REMOTE, REMOTE

This is a FULLY REMOTE-WORLDWIDE position

ActivePrime is a Silicon Valley Tech company

As a senior software engineer, you'll join a team tackling genuinely hard problems: distributed data processing at enterprise scale, complex deduplication algorithms, and systems that need to handle billions of records without breaking. The kind of challenges that require actual engineering thinking, not just tutorial-level code.

Ready to tackle complex engineering challenges that impact how the world's largest companies manage their data?

Who we are NOT looking for

*Agencies

*People who are looking for a side “hustle” or are starting their own business

*Anyone with less than 8 years of experience

If you are a fit for this position, please start your Cover Letter with I AM A SENIOR BACK END PYTHON ENGINEER WITH 8+ YEARS OF EXPERIENCE in all CAPS

To be considered pls fill out this form https://forms.clickup.com/2257368/f/24wer-69717/12MWQYCOXQEFIYE71Y

Required Skills:

*Very proficient with Linux at the terminal level

*Test-driven development (TDD) and pytest proficiency

*7+ years Python experience

*Polars experience

*PostgreSQL expertise: schema design, optimization, advanced queries

*Familiarity with, and adherence to, PEP guidelines and Python coding standards

*RESTful API development and design best practices

*Scalable architecture design for high-volume data environments

*Security practices and vulnerability prevention

*Bug identification and resolution with local testing

*Thoughtful development centered around performance, deeply optimized code, and proper code organization

*Git version control with branching strategies

*English fluency (written/verbal)

*Previous experience working for a US-based company.

Senior BE Python Engineer for DevOps-FULLY REMOTE, U.S., CANADA, EUROPE based only, ActivePrime, Inc.

REMOTE, REMOTE

The Role

We're seeking a versatile DevOps Engineer with Python language skills, to help scale our infrastructure and operations. This is a "wear many hats" position perfect for someone who thrives in a fast-paced, distributed environment and enjoys building systems that grow with the business.

What You'll Do

*Maintain and Evolve existing AWS infrastructure for Production and Development Environments.

*Develop Automation and Purpose specific applications and Integrations.

*Assist with and eventually lead the provisioning system and software release process.

*Develop internal tools for employees and partners using our stack (Python, FastAPI, nicegui, PostgreSQL, Vue.js, NiceGUI, Ansible, among other tools).

*Manage security policies and help with customer security compliance.

*Support our remote-first culture through robust, reliable systems.

What We're Looking For

*Strong experience in Python development (Libraries, and Services, not just Backend API)

*Experience delivering Python Modules across different environments.

*Strong experience with AWS infrastructure management, configuration, deployment and monitoring.

*Capacity of identifying problems and proposing solutions.

*Proven ability to work independently in a remote environment.

*Excellent async communication skills and self-management.

*Experience building scalable systems from the ground up.

*Comfortable with security best practices and compliance requirements.

*Adaptability to wear multiple hats and tackle diverse challenges.

*We release often, including the weekend. You must be available to work then.

What you will need

*AWS Dashboard (and CLI) experience

*Python language experience

*Linux environment experience

*(Nice to have) Salesforce Admin/Dev Experience

If you are ready to help a growing SaaS company scale please start your cover letter with “ I AM A VERSATILE DEVOPS ENGINEER” We'd love to hear from you.

To be considered please fill out the click up form https://forms.clickup.com/2257368/f/24wer-68877/ON1CTQHI8FXGJURL5V

Senior Fullstack Software Engineer, Autodesk

London, United Kingdom

We are seeking a highly skilled Senior Full Stack Software Engineer to join our team supporting research and foundation model development. This role operates at the intersection of research scientists, ML engineers, and infrastructure teams, enabling rapid experimentation, prototyping, and model deployment.

You are comfortable working in a high-ambiguity environment where requirements are often not fully defined. Understanding problems, gathering context (including through modern AI tools), and iterating quickly are key aspects of the role. You will contribute across the stack, building systems that support model development, evaluation, and integration into production workflows.

This team operates in a hybrid working model from our offices in London.

Responsibilities

Develop and maintain backend and frontend applications and services
Rapidly prototype solutions to support research and experimentation workflows
Design, implement, and monitor CI/CD systems and deployment pipelines
Build tooling for benchmarking, evaluation, and post-training workflows (e.g., harnesses, environments)
Work with 3D data (meshes/BREPs) and support 3D geometry processing and rendering systems
Develop and optimize data processing pipelines
Identify and resolve bugs and system issues in a timely manner
Collaborate with research scientists, ML engineers, and infrastructure teams to enable AI/ML solutions
Use modern AI/GenAI tools to accelerate development, gather context, and validate outputs
Contribute to shared codebases, ensuring quality, scalability, and maintainability
Stay current with emerging technologies and apply them pragmatically in a fast-moving environment
Operate effectively in situations with evolving or unclear requirements

Strong programming skills in Python (or similar)
Experience developing full stack applications (backend + frontend)
Experience using modern AI/GenAI tools as part of the development workflow
Familiarity with cloud infrastructure (e.g., AWS), Linux environments, and containerization (Docker)
Experience with CI/CD tools and workflows
Experience building or working with data pipelines
Ability to work in fast-paced, ambiguous environments and drive tasks to clarity
Bachelor's degree in computer science, Engineering, or equivalent experience
Strong problem-solving, communication, and collaboration skills

Additional Qualifications

Experience building prototypes in research or experimental settings
Familiarity with workflow/pipeline orchestration tools (e.g., Metaflow)
Experience working with 3D data, CAD systems, or rendering techniques
Experience with frontend technologies (e.g., JavaScript, React)
Understanding of software architecture and design patterns
Ability to work across multiple domains (systems, data, UI) as needed
Interest in machine learning or AI systems

Python Back-end Developer, Initialize

Remote, Remote, UK

Back-end Python Developer (AI) - Remote - UK - excellent opportunity to join this innovative and fast-growing AI tech. organisation!

Role Code Back End solutions confidently in Python, design and implement scalable architecture using cloud-native tools. Build and deploy AI-first features using Azure AI Foundry, Docker and AKS. Use Visual Studio Code (ideally with GitHub Copilot or similar AI coding assistants) Collaborate in a tight feedback loop: branch, commit, pull, test, ship - all through Github. Write unit tests and ship quality code, not just quick fixes. Participate in sprints and daily stand-ups

Why join

An excellent opportunity to join an incredible team, organisation - work lean, iterate fast, and learn quickly - perfect role for a Python Back End Developer with an Agile mindset who is curious, flexible, collaborative, unafraid to try new things and help design and build their AI platform.

Skills/experience 2+ years solid commercial Python coding experience (Back End, API development would be great). Good understanding of Docker An Agile mindset and Experience working in agile teams, using Github for CI/CD, branching, pull requests, and automated testing.

Nice to have: Kunernetes Comfortable with VS Code, ideally with AI coding tools like Copilot or VS Code agents. Understanding/experience of cloud-native patterns, and scalable architecture. Experience with Azure's native AI stack (AI Foundry, AI Search, Cosmos DB, AKS). Interest in experimenting with new AI frameworks and tools.

Associate Principal AI Scientist, AstraZeneca

Durham, North Carolina, USA

We are looking for Associate Principal AI Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments.

Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems.

We are hiring two candidates for this position and the roles will be based at our dynamic site in Durham (USA).

Essential skills/Experience:

Min Bachelor´s degree in computer science, data science, artificial intelligence, machine learning or related fields.
At least 3 years of experience in Deep Learning and ML
Excellent coding skills in languages such as Python, R.
Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning.
Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch,
Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI
Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines.
Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI.

Desirable skills/experience:

Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application.
Strong publication record in the field of AI.
Experience designing multi-agent systems in the pharmaceutical sector.
Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry.
Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

Junior DevOps Engineer, Patrick J. McGovern Foundation

Remote, United States

What We’re Building PJMF is building a suite of AI-enabled tools that will serve as the intelligence layer for modern philanthropy. Every year, foundations and corporate funders deploy hundreds of billions of dollars toward humanity's most pressing challenges—yet they do so using systems designed for compliance, not insight. Program officers spend more time reformatting documents and reconciling spreadsheets than learning from their portfolios or deepening relationships with grant partners.

Grant Guardian, PJMF’s existing product, already helps hundreds of foundations use AI to streamline their financial due diligence workflows. The next step is a product that will place AI at the center of strategic philanthropy by automatically distilling grant applications into actionable insights, identifying patterns across thousands of grants, generating board materials in minutes, and lowering barriers for historically excluded organizations through features like proposal feedback and translation.

About the role: We are seeking a self-driven Junior DevOps Engineer to contribute to the development, deployment, and maintenance of data and AI products that support positive social impact around the world. You will support the maintenance of the cloud infrastructure that powers our AI and data products, while contributing to the full-stack applications built on top of it. You will also work directly with nonprofit partners, helping them understand and adopt the tools we build.

We are a small team. We work in short cycles and collaborate across disciplines. In this role, you will contribute directly to cloud-based applications that bring AI outputs into real use.

This is an early-career, growth-oriented DevOps role designed for engineers who are building foundational experience in cloud infrastructure, automation, and deployment systems. The role operates under the guidance of senior engineers and progressively assumes greater responsibility as skills and confidence develop.

How You’ll Make An Impact: Cloud infrastructure and operations. Maintain and improve our AWS environments using infrastructure-as-code. This includes VPC configuration, IAM policies, secrets management, logging, backups, and cost controls. Application development. Write frontend and backend production code for shared platform services and internal tooling. Our stack includes primarily Go, Python, JavaScript, and React. CI/CD and automation. Contribute to deployment pipelines using GitHub Actions. Automate testing, container builds, releases, and operational workflows like environment provisioning and dependency updates. Containerization and platform support. Support our Docker-based deployment platform, including build workflows, deployment strategies, and autoscaling. Observability and incident response. Implement and maintain metrics, centralized logging, alerting, and dashboards. Participate in incident response under the direction of senior engineers. Developer experience. Build and maintain internal documentation, service templates, and local development tooling that help the team move faster and debug with confidence. Partner collaboration. Work directly with nonprofit partners to support their adoption of our tools. You will translate technical concepts clearly, listen to how partners experience what we build, and bring that feedback into the product cycle. This is recurring, meaningful work, not occasional. Participate in stretch assignments and special projects in service of our broader strategic priorities.

What you need to be successful: Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field is preferred. Equivalent practical experience may be considered; however, candidates with formal academic training in software or infrastructure-related disciplines are strongly encouraged. Development Experience: 1-3 years of experience in a DevOps, infrastructure, or full-stack engineering role. Programming: Working proficiency in Python or Go is strongly preferred. Experience contributing to production codebases is preferred. Cloud experience: Hands-on experience deploying or supporting production systems on AWS or a comparable cloud platform. Pipeline experience: Experience building and maintaining CI/CD pipelines using modern tooling (e.g., GitHub Actions, etc), source control (GitHub), issue tracking (Jira) and best practices. Infrastructure: Familiarity with relational databases (e.g., PostgreSQL, MySQL) is required. Exposure to containerization tools (e.g., Docker) and Infrastructure as Code (e.g., Terraform) is also expected. Team Collaboration & Communication: Ability to work effectively in a small, virtual, fast-moving team. Communicate clearly in writing and conversation, document work thoughtfully, and demonstrate growing technical judgment when balancing short-term delivery needs with longer-term system considerations. Work eligibility: Applicants must be authorized to work for any employer in the U.S. (No visa sponsorship available)

Exposure We Value: Observability experience: Exposure to monitoring, logging, and alerting systems and participating in incident response or on-call rotations. Systems Fundamentals: Basic understanding of networking, system reliability, and security fundamentals Security Fundamentals: Awareness of basic security best practices and an interest in learning how infrastructure security is maintained. Cloud cost & sustainability: Interest in learning how teams monitor infrastructure costs and system efficiency.

Research Advocate and Support Engineer, Redivis, Inc.

Oakland, CA, United States

Hi! I work on product & engineering at Redivis, and we're hiring a Research Advocate and Support Engineer to join our team.

We're a data platform for academic research at leading U.S. institutions, and we're looking for someone to take ownership of building and supporting our growing community of researchers and data administrators.

We’re looking for an empathetic, clear communicator who is proficient in Python, R, and/or SQL, and loves to write, present, and debug data pipelines.

Apply here: https://redivis.homerun.co/technical-evangelist-and-support-engineer/en

Company: https://redivis.com Location: Remote (United States) Salary: $140K + equity + benefits

Strong technical proficiency in using Python, R, and/or SQL for data science.
Solid understanding of data science principles, methodologies, and common tools.
User empathy around the challenges and pain points when working with research data.
Experience creating and maintaining teaching or support materials.
Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly and concisely.
Comfortable adapting to the needs of a highly diverse user base spanning numerous scientific disciplines and varying levels of data science expertise.
Strong problem-solving skills and a methodical approach to troubleshooting.

Senior Python Core Engineer, Chime

Remote, United States

Chime Engineering is growing rapidly as we scale to meet the financial needs of our members—and that growth depends on strong, secure, and efficient engineering foundations. We’re hiring a Senior Python Core Engineer- to join the Languages & Frameworks team within Engineering Services, with a mission to standardize and strengthen Chime’s Python ecosystem.

Python is increasingly foundational to our data engineering, analytics, machine learning, and emerging AI initiatives. As Python adoption expands, we need clear ownership and stewardship over Python releases, packaging, base images, and shared libraries to reduce security risk, eliminate duplicated effort, add guardrails against AI generated code, and make builds and runtimes more reliable and reproducible.

In this role, you’ll be the technical leader for Python foundations across the company responsible for owning the lifecycle of Python versions, defining best practices, improving build and dependency workflows, and maintaining key internal Python libraries. You’ll partner closely with platform teams, CI/CD stakeholders and data/ML orgs to drive improvements that make Python development faster, safer, and more scalable.

The base salary offered for this role and level of experience will begin at $187,000 and up to $259,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to:

*Own Chime’s Python version standards, upgrade cadence, and compliance, reducing EOL exposure and security patch lag *Design and drive safe, repeatable Python upgrade processes across services and shared libraries, enabling teams to adopt new versions with minimal friction *Establish clear dependency management practices (e.g., version locking policies, upgrade safety, library compatibility strategies) *Partner with CI/CD stakeholders to improve build performance, reliability, and developer experience for Python projects *Maintain and develop critical internal Python libraries including roadmap, quality, and adoption *Define and evangelize Python best practices (“the Chime way”), aligned with community standards, and support teams through documentation and enablement *Identify and drive opportunities to maximize returns from the Python + AI ecosystem, evaluating tools, practices, and vendor options that improve iteration speed and outcomes

To Thrive in this Role, You Have: *5+ years of software engineering experience, with deep hands-on expertise in Python in production *Strong experience with Python build tooling, and an understanding of tradeoffs in versioning and distribution *Understanding of asynchronous and synchronous data-sharing patterns (pub/sub, RPC, caching, etc.). *Solid knowledge of containerized environments and build systems (Docker images, CI pipelines, caching, reproducible builds) *Experience building and maintaining shared libraries used by multiple teams, including API design, backwards compatibility, and release management *A security- and reliability-first mindset, especially around EOL management, patching and build integrity *Strong cross-functional collaboration skills—able to influence without authority and align multiple teams around standards and migrations *Comfort operating with ambiguous requirements, creating clarity through docs, prototypes, and incremental rollout plans *Bonus: experience working in/supporting data engineering and ML *Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

Lead Python Backend Engineer, Reef Technologies

Warsaw (fully remote), Poland

Lead Python Backend Engineer

We’re looking for Python backend engineers interested in team management to work on a trustless supercluster of performance-proofed GPU-enabled sandboxed docker container runners controlled by truly decentralized algorithms (not just PAXOS or RAFT).

Wow, that was a mouthful...

If you found it interesting, join Reef Technologies and lead a team of senior engineers who tackle complex technical challenges. With us, you’ll work on your own terms:

Contribute from wherever you like—we are fully remote but like to stay in sync, so we’re currently hiring in EMEA/APAC.
Set your own time commitment, as long as it’s at least 30h per week
See how we work in our handbook: github.com/reef-technologies/handbook
Influence the way we operate through our Sociocracy 3.0 decision-making process

Salary on a B2B contract:

75–90 USD or 300–380 PLN per hour, or 12600–15120 USD or 48000–60800 PLN a month if you work 40 hours per week (most of us work a bit less)
Flexible work schedule (as measured with a time tracker)
We automatically adjust rates based on inflation twice a year

We're looking for someone with 2+ years of team management and 5+ years of programming experience (including at least a year with Python, open source and significant personal projects do count).

Senior Python Backend Engineer, Reef Technologies

Warsaw (fully remote), Poland

Senior Python Backend Engineer

We’re looking for Python backend engineers to work on a trustless supercluster of performance-proofed GPU-enabled sandboxed docker container runners controlled by truly decentralized algorithms (not just PAXOS or RAFT).

Wow, that was a mouthful...

If you found it interesting, join Reef Technologies and tackle complex technical challenges like this on your own terms:

Contribute from wherever you like—we are fully remote but like to stay in sync, so we’re currently hiring in EMEA/APAC.
Set your own time commitment, as long as it’s at least 30h per week
See how we work in our handbook
Influence the way we operate through our Sociocracy 3.0 decision-making process

Salary on a B2B contract:

45-70 USD or 180-280 PLN per hour
Flexible work schedule (as measured with a time tracker)
We automatically adjust rates based on inflation twice a year

So, what do you think? You don't even need a CV, just click here and shoot a few quick commands to apply.

We're looking for someone with 5+ years of programming experience, including at least a year with Python (including opensource and significant personal projects).

Senior Python Engineer, Fulfil

Toronto, ON, Canada

About Fulfil Fulfil is the modern ERP for commerce. Built to power the fastest-growing eCommerce brands, our platform brings together order management, inventory, accounting, and more, turning complex operations into a strategic advantage.

We’re trusted by brands like HexClad, Ridge Wallet, Caraway, and Resident, and backed by people who want to change the way merchant operations are run. We believe in deep work, radical accountability, and building tools that let sharp people move faster.

About the Role As a Python Engineer (Full Stack & AI) at Fulfil, you will design and build next-generation systems that power millions of customer orders and financial transactions for some of the world’s fastest-growing merchants.

Our Python-based platform operates at a significant scale, handling millions of transactions per hour. Your work will have a direct impact on system reliability, scalability, and product innovation.

You’ll collaborate closely with teammates across Canada, the U.S., and India, working in a highly ownership-driven environment that values clean architecture, pragmatic engineering, and thoughtful problem-solving.

Location: Toronto, Ontario (in-office 5 days per week)

Type: Full-Time

Expected Start Date: Immediately

What You’ll Do

Own the Full Stack

Design, build, and maintain end-to-end functionality across our Python-based platform, from backend services to frontend integrations.
Work within a large, mature codebase while contributing to its long-term evolution and scalability.

Deliver Features at Speed

Lead the design, development, testing, and deployment of new features that directly support high-growth merchants.
Balance rapid delivery with long-term maintainability.

Apply AI in Production

Integrate AI-powered capabilities into Fulfil’s ERP using LLMs (e.g., OpenAI, Anthropic).
Build intelligent workflows that enhance automation, decision-making, and merchant experience across orders, financials, and operations.

Scale with Confidence

Design and optimize REST and GraphQL APIs (600+ endpoints), microservices, and background processing pipelines.
Work with containerized infrastructure (Docker/Kubernetes) to support high availability and zero-downtime deployments.

Champion Code Quality

Refactor and modernize legacy systems.
Write well-tested, readable code using pytest.
Participate in code reviews and architectural discussions to raise the bar across the team.

Build Ecosystem Integrations

Develop and maintain integrations with major commerce platforms (Shopify, Amazon) and logistics providers (FedEx, DHL).
Ensure reliable data flows across external systems and Fulfil’s core platform.

Required Experience

5+ years of experience, ideally, building applications at scale from scratch.
Strong experience building large-scale backend systems and microservices using Python.
Hands-on experience with ORMs (e.g., SQLAlchemy, Django ORM) and relational databases (PostgreSQL preferred).
Proficiency with distributed systems components such as Celery, Redis, RabbitMQ, and background processing.
Experience writing automated tests (pytest) and using Git in a collaborative environment.
Demonstrated ownership—seeing projects through from design to production and ongoing support.

Bonus Points

Experience scaling systems at a high-growth tech company.
Familiarity with cloud platforms (Google Cloud, Heroku, etc.).
Passion for optimizing distributed systems or e-commerce workflows.
Domain-Focused Product Engineering: Experience building or scaling production software in commerce, logistics, or operations domains (e.g., order management, inventory, fulfillment, WMS) or in FinTech/financial systems (payments, reconciliation, revenue recognition, invoicing).

Python Developer, Ktek Resourcing

Columbus, Ohio, United States

Job Title: Python Developer Location: Columbus, OH (5 Days Onsite) Python, REST API, TDD, no-SQL,AWS Lambda, SNS/SQS, Terraform, API Gateway, ReactJS Note - Candidate must have banking domain experience and more than 4 years of onsite experience.

Python Rest API TDD NoSql AWS Lambda Reactjs

Software Engineer - Python, RouteOne

Farmington Hills, MI, United States

The Software Engineer will join an agile development team responsible for developing, integrating and maintaining Python based systems and applications that support our data analytics, reporting, system integration and data science initiatives.

The Software Engineer should be passionate about code quality and software excellence, with extensive development experience. Collaborating closely with other analysts, architects, and team members is a must. This role blends software engineering, data management, and analytical problem solving to drive business insights and efficiency.

Design, develop, and maintain Python applications for data processing, analytics, system integration, and reporting.

Integrate internal and external systems through APIs, databases, and automation scripts.

Build, optimize, and document ETL (Extract, Transform, Load) workflows for structured and unstructured data.

Work closely with business teams to understand data requirements and deliver scalable, reliable solutions.

Implement best practices in code quality, data security, and performance optimization.

Contribute to technical documentation and ensure smooth handoffs across teams.

Participate in the internal community of practice sessions.

Perform all work in accordance with RouteOne quality programs.

Python Research Software Consultant (Competitive Pay, Short-Term, Remote), Texas Southern University

Houston, TX, USA

OVERVIEW

I seek a highly qualified Python research software consultant to assist in refactoring, organizing, and documenting two related social science research codebases for publication-grade reproducibility and open-source public release. This is a short-term, remote consulting opportunity with competitive compensation.

PROJECTS

This work comprises two related components:

PNAS Research Article Codebase

Prepare for publication the Python hierarchical Bayesian modeling (HBM) codebase underlying a manuscript soon to be submitted to PNAS on global scientific production. This codebase requires refactoring, reorganization, and documentation to meet publication-grade standards of clarity, structure, and computational reproducibility.

Advanced Data Analytics Platform Codebase

Prepare for public release version 2.0 of an advanced data analytics platform built with Python, SQLAlchemy, and PostgreSQL as an open-source demonstration platform for research on the contemporary history of quantum information science (QIS).

This role focuses on research software engineering, code organization, documentation, and reproducibility rather than on statistical model development.

RESPONSIBILITIES

Improve the clarity, structure, reproducibility, and maintainability of both codebases.
Develop clear documentation, including README files, docstrings, in-code comments, and usage examples.
Ensure reliable, reproducible execution from raw data to final analytical outputs.

SCOPE

The two codebases together include approximately 20 Jupyter notebooks, some as long as 3,000 lines. The consultant will focus on the highest-priority components necessary to produce a clean, reproducible, publication-ready codebase rather than refactoring every notebook in full.

QUALIFICATIONS

Ph.D., advanced graduate student, or experienced research software engineer in computer science, software engineering, data science, or a related field.
Strong expertise in Python.
Experience refactoring, organizing, and documenting research codebases.
Experience preparing computational research code for peer-reviewed publication and computational reproducibility, especially code supporting a major article submission in computational social science or related fields, preferred.
Experience with hierarchical Bayesian modeling preferred.
Experience preparing codebases for open-source public release preferred.
Experience with reproducible research practices, including environment management, workflows, and version control, preferred.
Experience with SQLAlchemy preferred.

ADDITIONAL INFORMATION

Compensation: Competitive hourly compensation of $80–$150, with total compensation in the range of $7,000–$10,000, depending on qualifications, experience, and scope of work.
Duration: Flexible, with total hours depending on consultant availability, qualifications, and final scope. All work must be completed by June 30, 2026.
Location: Remote.

HOW TO APPLY

Please send a brief statement of interest outlining your background and relevant experience, together with your CV and links to any code samples or repositories, to:

Professor Roger Hart, Department of History & Geography, Texas Southern University

Roger.Hart@TSU.edu

http://rhart.org/