Senior Développeur Front-End - Team Poker (H/F)

Senior Backend Developer Python (m/f/d)

Mindpeak

COMPANY OVERVIEW Mindpeak is a Hamburg-based AI company applying state-of-the-art deep learning to computational pathology, with a clear mission: enabling more effective, personalized cancer treatment. We work at the intersection of AI, medicine, and drug development-building regulatory-grade solutions that help pharma, biotech, and clinical partners discover, validate, and translate meaningful biomarkers into real-world impact. Our technology analyzes H&E, IHC, and multiplex tissue data to support drug development, patient stratification, and clinical trials. What makes this work especially rewarding: our AI is already deployed in routine diagnostics in more than 25 countries, meaning the tools we build are used by clinicians and patients every day. At Mindpeak, we believe that reliable, clinically applicable AI can change how cancer is treated. If you want to work on challenging problems, collaborate across disciplines, and see your work make a real difference in patient care, you’ll feel at home here. POSITION SUMMARY Role: Senior Backend Developer Python Focus: Building and scaling high-quality backend services that power AI models and digital pathology tools. Team: You’ll be part of the development team, working closely with machine learning, product, and front-end colleagues. You will report directly to our VP Engineering. Digital pathology comes with unique technical challenges: whole-slide images with file sizes of several gigabytes and resolutions up to 100,000 x 100,000 pixels. You’ll help design and implement solutions such as efficient image streaming via an advanced image server, ensuring that our AI models can be served reliably to pathologists, labs, and partners worldwide. You’ll work on: * Building a new platform for digital pathology using a modern, multi-agent AI coding workflow. * Turning cutting-edge AI models into robust, scalable APIs for real-world clinical use * Building tools and services to automate our data annotation and image processing pipelines * Integrating scanners, image viewers, and lab information systems into seamless, automated workflows * Shaping technical decisions from the ground up in a fast-moving, high-impact environment Your Responsibilities * Design, develop, test, deploy, maintain, and improve backend services that serve machine learning models in production. * Write clean, maintainable, and well-tested code with a strong focus on reliability and performance. * Build automation tools to streamline and optimize our data annotation pipeline. * Work with technologies such as Docker, AWS, Python, and (partially) React to develop best-in-class digital pathology tools. * Integrate existing pathology hardware and software (e.g. scanners, image viewers, LIS) into automated workflows. * Manage your own project priorities, deadlines, and deliverables with a high degree of ownership. * Collaborate closely with product, design, front-end, deep learning, and infrastructure colleagues to keep everything running smoothly. * Select and implement the most effective technical approach for each task. * Build up AI agentic development workflows, including the evaluation and adoption of AI coding agents to improve developer productivity and software quality. * Define best practices for AI-assisted software development and share this knowledge across the organization. YOUR PROFILE Background & Experience * MSc in Computer Science or a related field, or equivalent practical experience. * At least 3–5 years of professional experience with impactful contributions to software products. * Strong track record in backend development with Python. * Experience with Linux and Docker; Linux server administration/operations is a plus. * Extensive experience leading and mentoring junior developers. * Hands-on experience working with AI coding agents or AI-assisted development tools (e.g. agentic coding frameworks, LLM-based developer tools). Skills & Mindset * Solid software engineering skills; experience with web development (JavaScript and CSS) is a plus. * Curiosity for technical hardware devices and experience interfacing with them via APIs. * Interest in the technological ecosystem of laboratories (e.g. whole-slide scanners, image viewers). * Enjoy working in interdisciplinary teams and “thinking outside the box.” * Able to work independently and drive your own projects forward. * Strong analytical skills and a commitment to continuous learning, mentoring, and knowledge sharing. * Willingness to take ownership beyond pure implementation and actively shape how software is built at Mindpeak. * Comfortable in a fast-paced, dynamic environment with shifting priorities. * Fluent in English; German is a plus. WHAT MINDPEAK OFFERS * The opportunity to bring cancer diagnostics to a whole new level and make a real impact on patient care. * An open, creative work environment with flat hierarchies and quick decision-making. * Close collaboration with a skilled, international team and experienced management. * Diverse, engaging projects that help you deepen both your technical and domain expertise. * A centrally located Hamburg office with a beautiful view over the harbor. APPLICATION DETAILS Please send us: * CV * University certificates and transcripts of records * Job references * Salary expectations * Earliest possible starting date Contact: * Email: jobs@mindpeak.ai Note: Direct applicants only. We do not work with recruiting agencies for this position.

AI driven Senior Backend Developer Python (m/f/d)

Mindpeak

COMPANY OVERVIEW Mindpeak is a Hamburg-based AI company dedicated to democratizing cancer diagnostics. Our software supports pathologists in detecting cancer faster and more accurately by applying state-of-the-art deep learning to medical images. Our AI solution is the first to be implemented in clinical histopathology for primary diagnostics in the USA and is used in routine workflows around the world. We tackle a central challenge in modern healthcare: a growing demand for medical image analysis with a static number of cancer experts. By providing powerful, robust tools for visual diagnosis, we help pathologists focus on what only humans can do best—while our technology takes care of the rest. POSITION SUMMARY Role: AI driven (Senior) Backend Developer Python Focus: Building and scaling high-quality backend services that power AI models and digital pathology tools. Establishing AI-agentic development workflows. Team: You’ll be part of the development team, working closely with machine learning, product, and front-end colleagues. You will report directly to our VP Engineering. Digital pathology comes with unique technical challenges: whole-slide images with file sizes of several gigabytes and resolutions up to 100,000 x 100,000 pixels. You’ll help design and implement solutions such as efficient image streaming via an advanced image server, ensuring that our AI models can be served reliably to pathologists, labs, and partners worldwide. In this role, you will play a key part in building up Mindpeak’s AI agentic development knowledge, tooling, and workflows. You’ll work on: * Building a new platform for digital pathology using a modern, multi-agent AI coding workflow. * Turning cutting-edge AI models into robust, scalable APIs for real-world clinical use * Building tools and services to automate our data annotation and image processing pipelines * Integrating scanners, image viewers, and lab information systems into seamless, automated workflows * Shaping and scaling AI-supported development workflows across teams * Shaping technical decisions from the ground up in a fast-moving, high-impact environment Your Responsibilities * Design, develop, test, deploy, maintain, and improve backend services that serve machine learning models in production. * Write clean, maintainable, and well-tested code with a strong focus on reliability and performance. * Build automation tools to streamline and optimize our data annotation pipeline. * Work with technologies such as Docker, AWS, Python, and (partially) React to develop best-in-class digital pathology tools. * Integrate existing pathology hardware and software (e.g. scanners, image viewers, LIS) into automated workflows. * Manage your own project priorities, deadlines, and deliverables with a high degree of ownership. * Collaborate closely with product, design, front-end, deep learning, and infrastructure colleagues to keep everything running smoothly. * Select and implement the most effective technical approach for each task. * Build up AI agentic development workflows, including the evaluation and adoption of AI coding agents to improve developer productivity and software quality. * Define best practices for AI-assisted software development and share this knowledge across the organization. YOUR PROFILE Background & Experience * MSc in Computer Science or a related field, or equivalent practical experience. * At least 3–5 years of professional experience with impactful contributions to software products. * Strong track record in backend development with Python. * Experience with Linux and Docker; Linux server administration/operations is a plus. * Extensive experience leading and mentoring junior developers. * Hands-on experience working with AI coding agents or AI-assisted development tools (e.g. agentic coding frameworks, LLM-based developer tools). * Experience in orchestrating AI coding agents * Experience with Google Jules, Cursor or Claude Code Skills & Mindset * Solid software engineering skills; experience with web development (JavaScript and CSS) is a plus. * Curiosity for technical hardware devices and experience interfacing with them via APIs. * Interest in the technological ecosystem of laboratories (e.g. whole-slide scanners, image viewers). * Enjoy working in interdisciplinary teams and “thinking outside the box.” * Able to work independently and drive your own projects forward. * Strong analytical skills and a commitment to continuous learning, mentoring, and knowledge sharing. * Strong interest in AI-driven software engineering and emerging development paradigms. * Willingness to take ownership beyond pure implementation and actively shape how software is built at Mindpeak. * Comfortable in a fast-paced, dynamic environment with shifting priorities. * Fluent in English; German is a plus. WHAT MINDPEAK OFFERS * The opportunity to bring cancer diagnostics to a whole new level and make a real impact on patient care. * An open, creative work environment with flat hierarchies and quick decision-making. * Close collaboration with a skilled, international team and experienced management. * Diverse, engaging projects that help you deepen both your technical and domain expertise. * A centrally located Hamburg office with a beautiful view over the harbor. APPLICATION DETAILS Please send us: * CV * University certificates and transcripts of records * Job references * Salary expectations * Earliest possible starting date Contact: * Email: jobs@mindpeak.ai Note: Direct applicants only. We do not work with recruiting agencies for this position.

Senior ML Software Developer, ML Technology

Unknown Employer

Description Position at DNEG Senior ML Software Developer, ML Technology (Brahma DDU) The ML Technology department at Brahma DNEG-Dedicated Unit (Brahma DDU) explores, tests, and deploys machine-learning and automation solutions to support the technology and infrastructure that powers DNEG’s multi-site, global VFX and Feature Animation studio. With thousands of artists producing tens of thousands of shots across film, TV, and immersive experiences, we face complex scaling and workflow challenges. As a Senior Software Developer, you will act as an architect building Python applications, high-quality tools, services, and web front-end UIs that enable award-winning VFX and feature animation work. You should apply if: You enjoy building, packaging, and configuring complex software systems. You enjoy acting as a team player - you know how to delegate and mentor others. You are fluent across modern software development and ML tooling and like collaborating with engineers, researchers, and artists. You care about efficiency, reliability, and clean engineering. Your role: Software Development Deploy ML solutions and integrate AI tooling within the VFX pipeline with minimal burden on artists and production. Design and build web front-end UIs (dashboards, curation tools, job control, review) that make ML/automation workflows intuitive and accessible. Collaborate with global stakeholders and architects to implement cost-effective data and MLOps pipelines; document methodologies. Build, package, and configure complex software systems across Linux. Improve efficiency, stability, and observability through profiling, metrics, and tracing. Validate work with methodical testing (unit/integration/e2e). Write clear technical documentation and workflow guides for artists and developers. Manage escalated troubleshooting and debugging for ML-driven tools and services. Work collaboratively under tight deadlines; mentor developers, assign tasks where appropriate, and report to the Head of ML Technology. Engineering quality and coding standards: Enforce standards via CI: formatting (e.g., black/clang-format), linting (ruff/eslint, clang-tidy), typing (Python type hints, TypeScript), and test coverage gates. Require code reviews for all merges; maintain modular, testable designs with clear separation of concerns and DCC-agnostic cores where applicable. Documented APIs (OpenAPI/Protobuf), versioned schemas, and backward-compatible changes. Secure-by-default practices (authn/z, secrets management), performance budgets, and telemetry by design. Primary technologies (coding language setup): Languages: Python 3.x (tooling and ML integration), C++17 (performance-critical components), TypeScript/JavaScript (web UIs). Web front-end: React (or Vue), modern build tooling, REST/GraphQL clients. Services: FastAPI/Flask, gRPC/HTTP; containerized on Linux. Build/packaging: CMake; setuptools/pip/poetry; RPM/deb where appropriate. VCS/CI: Git; GitHub/GitLab CI or Jenkins. Skills & Requirements Must have: Experience as an architect for Python applications Strong programming and shell-scripting skills (Python; Bash). Experience building and troubleshooting non-trivial packages (C++11–17, CMake, autotools, setuptools/pip/poetry, RPM). Linux expertise and command-line proficiency. Solid grasp of systems architecture and software engineering fundamentals. Ability to articulate complex technology to non-experts and collaborate openly. Confidence in navigating ambiguity and providing pragmatic solutions. Proactive mindset and comfort with multiple priorities. Logical, methodical approach to problem solving. Nice to have: Experience as Lead on at least one project Significant experience with a major package/ports system. Experience monitoring, collecting, and analyzing diagnostics to drive resilience. Practical experience with Git and issue tracking systems (Jira). Familiarity with ops/CI/CD tooling (Elastic Stack, Graphite/Grafana/StatsD, Sensu, Jenkins/GitHub Actions). Understanding of sysadmin responsibilities (networking, filesystems, environment management). Relevant qualifications (CS/CE degree; RHCSA/RHCE, etc.). Demonstrable open-source contributions. This role is crucial to implementing seamless ML capabilities across the DNEG/Brahma group, directly improving the tools that power projects from blockbuster features to premium television. ADG is committed to nurturing a diverse and exciting workplace. Our teams have a variety of backgrounds and originate from a number of different countries, working across the globe at the forefront of technology in the industry. About Us We are DNEG, one of the world’s leading visual effects and animation companies for the creation of award-winning feature film, television, and multiplatform content. We employ more than 9,000 people with worldwide offices and studios across North America (Los Angeles, Montréal, Toronto, Vancouver), Europe (London), Asia (Bangalore, Mohali, Chennai, Mumbai) and Australia (Sydney). At DNEG, we fundamentally believe that embracing our differences is a vital component of our collective success. We are committed to creating an equitable, diverse and inclusive work environment for our global teams, where everyone feels they matter and belong. We welcome and encourage applications from all, regardless of background, experience or disability. Please let us know if you need any adjustments or support during the application process, we will do our best to accommodate your needs. We look forward to meeting you!