April 24, 2026

Senior Python Developer (ML Platform)

Senior • Hybrid

Warsaw, Poland

We are looking for a Senior Python Engineer to join our ML Platform team. You will be responsible for building the backend systems and infrastructure that power machine learning across a global fintech project.

This is a platform engineering role focused on building scalable, reliable, and secure systems that enable ML engineers and data scientists to develop, deploy, and operate models in production. Your work will directly support low-latency, real-time environments, such as fraud detection.

Please note: Prior Machine Learning experience is NOT required! If you are a strong backend engineer with an interest in data-driven platforms and ML systems, this is the perfect role for you.

Responsibilities:

  • Backend Development: Design and build production-grade Python services (FastAPI / microservices) that support the ML lifecycle, including feature computation, model inference, and monitoring.

  • Real-Time Data Pipelines: Develop and operate data pipelines to support low-latency, high-availability use cases (like fraud detection) using event-driven architectures (Kafka, Flink).

  • Platform Engineering: Build capabilities to enable online and offline feature stores, working closely with Data Engineering to ensure reliable data flows.

  • Developer Experience (DevEx): Improve the daily lives of ML engineers and data scientists through better tooling, automation, and self-service APIs.

  • Cloud & DevOps: Build and maintain CI/CD pipelines (GitOps, GitHub Actions, ArgoCD) and ensure the observability (Datadog), resilience, and scalability of platform services.

  • Security & Compliance: Collaborate with Infrastructure and Security teams to ensure all systems meet strict financial and regulatory standards.

Min requirements:

  • Python Mastery: Strong commercial experience in building production-grade backend systems and microservices in Python (this is not a scripting role).

  • Distributed Systems: Proven experience designing, building, and operating backend services or distributed systems.

  • Cloud & Containerization: Solid practical experience with AWS (EKS, S3, Lambda) and container orchestration (Docker, Kubernetes).

  • Data Systems: Experience working with databases, data pipelines, or streaming platforms.

  • Engineering Best Practices: Solid understanding of testing methodologies, CI/CD, and code quality standards.

  • High-Availability Focus: Ability to work in highly regulated, high-availability environments where system resilience is critical.

Would be a plus:

  • Experience with real-time streaming technologies (Kafka, Flink) and low-latency systems.

  • Background in fintech, payments, risk systems, or fraud detection.

  • Experience with ML platforms/tools (e.g., SageMaker, Ray, Tecton) or exposure to feature stores (online/offline architectures).

  • A general understanding of the machine learning lifecycle (training, inference, feature engineering).

We offer:

  • Opportunity to work on bleeding-edge projects

  • Work with a highly motivated and dedicated team

  • Competitive salary

  • Flexible schedule

  • Benefits package - medical insurance, sports

  • Corporate social events

  • Professional development opportunities

  • Well-equipped office

About us:

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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On-site

Gdansk, Poland

🏢 Summary: Senior Python Developer role within an AI-native full-stack team building a cutting-edge quantitative investment platform. The position focuses on developing scalable back-end systems and RESTful APIs using FastAPI and Python, ensuring security, performance, and cloud integration. The project delivers an AI-driven, human-centric investment ecosystem transforming decision-making processes. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering or related field or equivalent experience, 3+ years of back-end development experience with FastAPI and Python, Strong knowledge of server-side logic and database management, Expertise in Amazon Web Services, Experience with FastAPI and REST API development, Background in Gen AI assisted development, Proficiency with Git or other version control systems, B1+ English proficiency 📃 Skills: Python, FastAPI, REST, AWS, Git, GenAI, Databases 🏢 Description: We are looking for a dynamic, hands-on Senior Python Developer to join a full-stack AI native feature team for building a cutting-edge quantitative investment platform. The project aims to deliver a groundbreaking, AI-driven investment ecosystem that revolutionizes the entire investment process through an intuitive and human-centric design approach. This initiative transcends mere digitization, aiming to redefine investment decision-making with systematic, transparent and intelligent solutions. The platform is designed with the versatility to cater to a wide array of users and offers transformative capabilities for the investment landscape. Responsibilities Design, develop, and maintain robust and scalable back-end systems using FastAPI and Python Implement security and data protection measures to ensure the integrity and confidentiality of data Optimize applications for maximum speed and scalability Develop and maintain RESTful APIs for seamless communication between different components of the application Conduct code reviews and provide mentorship to ensure code quality and adherence to best practices Troubleshoot and resolve complex technical issues and bugs in a timely manner Stay up-to-date with the latest industry trends and technologies to continuously improve development processes and system performance Requirements Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience 3+ years of proven experience as a Back-End Developer with a focus on FastAPI and Python Strong understanding of server-side logic and database management Expertise in Amazon Web Services Knowledge of FastAPI and REST API Background in Gen AI Assisted Development Familiarity with version control systems such as Git Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work independently and as part of a team in a fast-paced environment B1+ English level proficiency Nice to have Skills in Cursor Proficiency in ReactJS We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

Technology

iTeamly

Senior Python AI Developer

Senior

Remote

Krakow, Poland

27,000 - 30,000 PLN

🏢 Summary: Remote Senior Python AI Developer role focused on building and scaling an AI-driven product platform. The position involves developing backend APIs, AI/ML workflows, document processing, retrieval systems, and integrating structured data into reliable, user-facing features. You will contribute across backend and frontend to deliver explainable, production-ready AI-powered solutions. 🗂️ Requirements: 5+ years professional software engineering experience, Strong experience with Python, Experience building backend APIs, Experience with FastAPI or similar frameworks, Experience with AI/ML product workflows, Experience designing and consuming API contracts and JSON schemas, Experience with asynchronous workflows and background jobs, Experience handling retries, partial failures, and process status, Commercial experience with React, Commercial experience with TypeScript, Experience writing tests for APIs and edge cases, Experience with retrieval systems, embeddings, or LLM APIs 📃 Skills: Python, FastAPI, AI, ML, APIs, JSON, React, TypeScript, LLM, OpenAI, Gemini, Anthropic, Embeddings, Vector, Firebase, Firestore, GCP, CloudRun, CloudSQL, Neo4j 🏢 Description: We are looking for a Senior Python AI Developer to build and scale an AI driven product platform in a fully remote setup. The role focuses on developing reliable product features around AI / ML workflows, document processing, retrieval systems, structured data, and user facing outputs that need to be clear, explainable, and easy to inspect. ✅ Your responsibilities: ・Developing backend APIs in Python with FastAPI , for document upload, asynchronous processing, job status, retries, partial success, and structured results. ・Building product workflows around AI outputs, retrieval systems, document processing, and structured data . ・Connecting backend services, frontend applications, data workflows, and AI generated outputs into a reliable product experience. ・Creating user facing features that make AI outputs easier to inspect through source references, confidence signals, warnings, and clear error states. ・Working with structured data, documents, tables, financial metrics, and normalized evidence flows. ・Contributing to frontend features using React and TypeScript , especially around workflow status, evidence review, recommendations, and decision outputs. ・Writing tests around API contracts, edge cases, error cases, and realistic user workflows. 🧠 Our requirements: ・5+ years of professional software engineering experience. ・Strong experience with Python and backend API development. ・Experience with modern API frameworks, ideally FastAPI or similar. ・Good understanding of AI / ML product workflows or strong interest in building software around AI outputs. ・Experience designing and consuming API contracts, schemas, and structured JSON payloads. ・Comfort with asynchronous workflows, background jobs, retries, partial failures, and user visible process status. ・Commercial experience with modern frontend applications, preferably with React and TypeScript . ・Good testing habits, especially around edge cases, failure cases, and API behavior. ・Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic / Claude. ⭐ Nice to have: ・Experience with data heavy products, including data workflows, document processing, data normalization, or working with structured evidence. ・Experience with cloud and data infrastructure, ideally Firebase, Firestore, Google Cloud Platform, Cloud Run, Cloud SQL, vector search, or Neo4j. 🌟 What we offer: ・100% remote work. ・Opportunity to work on a modern AI / ML product platform. ・Private healthcare and Multisport. ・Life insurance. ・Real influence on technical decisions and architecture. ・Exposure to modern AI, data, and product engineering challenges. ・Collaborative and supportive team environment.