Python Developer (AI&ML projects) (f/m/d)

IDnow

IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention. Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability. The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries. This position is based in Rennes, France. Europe's leader in identity verification solutions (KYC, eSigning, IDcheck, etc.), is strengthening its RDM (Research Data Management) division. We are looking for a Senior Data Engineer passionate about data and industrialization to design and operate the tools and data storage that power our software and AI research. The data you'll manage is at the core of what IDnow does: identity documents, biometric data, and verification records, sensitive by nature, regulated by design, and technically challenging to handle at scale. You will play a key role in the design and construction of our next-generation data lake, shaping its architecture from the ground up and bringing your experience to a team that values technical leadership and ownership.   KEY RESPONSIBILITIES   * Define and own data storage and data management architecture for our software and AI/ML workflows. * Develop and maintain tools and services that AI & ML R&D teams and engineering teams rely on, including workflow orchestration platforms and test campaign infrastructure. * Manage and analyze large data volumes. * Set up and maintain backend APIs and services that provide reliable and secure internal data access. * Operate and evolve the platform infrastructure (CI/CD, containerization, deployments) with a strong focus on quality (automated testing). * Enforce data access policies and GDPR compliance rules on research datasets, ensuring proper governance, traceability, and data minimization. * Collaborate closely with internal stakeholders (ML teams, product design and development, QA, devops) in an agile environment to prioritize and deliver within a continuous improvement process. * Enforce data access policies and GDPR compliance rules on research datasets, ensuring proper governance, traceability, and data minimization.     PREFERRED EXPERIENCE   REQUIRED: * Application development in Python (tooling, services, data scripts, packaging). * API frameworks and REST APIs (FastAPI/Django REST or equivalent). * Automated testing with pytest; strong quality and coverage mindset. * SQL databases: solid knowledge of PostgreSQL and MariaDB (modeling, query writing, migrations, basic performance tuning). * Data storage: design and operation of data storage solutions, including S3-compatible object storage (Ceph/Rook). * Docker and Kubernetes: containerization best practices and cluster deployments. STRONG PLUS: * Helm and ArgoCD: we are currently migrating our full stack to a Kubernetes + Helm + ArgoCD deployment model, hands-on experience here is a significant advantage. * Identity and access management: Keycloak or equivalent SSO/IAM solutions. * Search & analytics: OpenSearch or equivalent. * CI/CD: GitLab CI, deployment automation (Ansible, ArgoCD). WORKING ENVIRONMENT * Multidisciplinary teams (AI/ML research, development, QA), agile methodology. * Internal clients with a direct impact on the speed and quality of AI research at IDnow. * Strong technical culture, with mutual support and continuous growth. * A technically rich domain where AI, security, and privacy constraints intersect. * Linux: day-to-day administration and tooling (shell, security, permissions, networking). WHAT YOU’LL BRING * The ability to translate R&D needs into robust, scalable, and well-tested data platforms and tools. * Technical leadership on data lifecycle management (ingestion, storage, access, traceability) in service of AI and testing. * The ability to drive key architectural decisions on our data lake: storage organization, access patterns, data lifecycle, and tooling choices. * An industrialization mindset (automation, reproducibility, observability) applied to ML and data workflows. SOFT SKILLS * Motivation and initiative. * Curiosity, appetite for technical challenges, and continuous learning. * Team spirit, clear communication with diverse stakeholders (engineers, researchers, QA, devops). * Rigor, service orientation, and product mindset. * English required (international environment).     PERKS & BENEFITS * Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions. * We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification. * We make your remote work comfy: we provide support on equipment and offer flexible working hours. * We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work. * May your family require your attention or other reasons apply: use the benefit of our paid special leave days. * Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities. * In addition to the perks & benefits above, we offer specific benefits that differ between our locations.   IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.

Bettermile

WHAT IS WORKING AT BETTERMILE LIKE? * We mean it when we say “cutting edge” and have a high level of creative freedom in our everyday work * You will be surrounded by like-minded, driven, skilled, and highly motivated people who are keen to contribute to successful solutions * We mean diversity, and we put it in numbers: 130+ people, 40 languages, 40% female (vs. ø26% in the tech industry), ø33 years of age, and yes, we do have Schlager-Fans among us * We have a very supportive and appreciative working environment with a lot of autonomy, a flat hierarchy, and professional growth possibilities * We work in a hybrid mode, with weekly team days for better collaboration and nurturing interpersonal connections. When onsite, we work in a modern, kid- and pet-friendly Better Space in the heart of Berlin-Kreuzberg * Remote work from anywhere for up to 12 weeks in total per year * 30 vacation days in a 5-day/week working model * Kindergarten grant and a Company Pension scheme * Regular team breakfasts, fitness & wellness classes, company runs, and other events. Fruits, snacks, drinks, and coffee with a variety of milk are a given - but yes, we have them * Outstanding flexibility we are proud of – and, of course, the best colleagues in the world! About the Platform Team Every product team's ability to move fast depends on what's running underneath it. The Platform team builds that foundation for Bettermile, from shared infrastructure and authentication to observability, alerting, and developer tooling, so product teams can build, deploy, operate, and secure their products with confidence. The Platform Team's mission is to empower product teams by minimizing their cognitive load, so they can move faster and deliver more business value to our customers. You will be joining a highly impactful role where you will balance hands-on technical execution (approx. 60%) with strategic stakeholder engagement and mentorship (approx. 40%). Our current tech stack: AWS(CDK, EC2, ECS, S3, EventBridge, SQS, Location Services, API Gateway), Pulumi, Kotlin, New Relic, Snowflake, PagerDuty, GitHub, GitHub Actions, GitHub Copilot and Claude Code. YOU WILL BE TAKING CARE OF * Driving the evolution and stabilization of our central authentication systems * Taking ownership of our infrastructure's observability, scalability, security, and cost-efficiency, in close collaboration with teams and stakeholders * Implementing infrastructure-as-code across our ecosystems * Providing Mentorship for platform senior engineers, guiding their professional growth, and fostering strong cross-team collaboration * Implementing the company vision by championing DevOps culture, and establishing platform engineering best practices across the organization * No echo chambers here! You will challenge technical directions constructively and share your insights openly, while always being a team player who fully backs the squad's final decisions YOU CHECK THESE BOXES * Deep proficiency and hands-on experience operating within AWS environment * Strong background in system operations, specifically with Linux/Unix * Fluency in a programming language such as Python or similar * A minimum of 2 years of proven experience actively mentoring other engineers and putting them on a successful growth path * Security-minded approach to platform engineering * A proven ability to constructively challenge viewpoints while consistently aligning with the best interests of the organization * A strong preference for a hybrid setup that blends remote flexibility with 2 days of on-site collaboration in our Kreuzberg office IT IS AWESOME IF YOU ALSO HAVE * Experience with AI workloads, ML Ops, AWS Bedrock, Agentcore, or Snowflake Cortex * Proven experience leading large-scale infrastructure migration projects spanning multiple teams * AWS certifications TAKE YOUR CHANCE Be a part of shaping a fast-growing industry and make an impact from day one. You’ll have the chance to take on responsibility early, with guidance and support from experienced mentors. We foster a learning culture, collaboration on equal footing, and quick decision-making that moves things forward. Currently, we’re proceeding only with candidates authorized to work in Germany or who already hold a Job Seeker Visa. ABOUT US At Bettermile, we believe delivery shouldn’t be business as usual. We’re transforming last-mile logistics to drive efficiency and create a better delivery experience for everyone. Our geo-based, AI-powered SaaS product handles complex address processing, dynamic routing, and navigation. It is built to manage many stops and multiple constraints. We’re setting a new standard for the last mile and pushing the industry forward, powered by a skilled, international team of tech enthusiasts, logistics experts, and a product suite designed to keep evolving.

Artefact

Artefact, a global AI and data consulting company with rapid growth, is looking for a creative and tech-savvy Senior AI Engineer (m/f/d) to join the tech team full-time. Ideally, you are located in Hamburg, Munich, Berlin or nearby - but if you're based elsewhere in Germany and a great fit, we would still love to hear from you. Could this be you? Our data & AI experts develop production-ready, scalable solutions that bring real business value to our clients. You’ll work in interdisciplinary teams of data scientists, engineers, analysts and consultants to shape the future of data- and AI-driven products.   Your responsibilities: Innovate. You’ll help identify business needs, explore data and AI use cases, and drive projects from idea to production - whether it’s a proof-of-concept or a scalable solution. Build. You’ll own your work end-to-end - from concept and architecture to implementation, optimization, and delivery. You design smart, robust solutions using data or LLMs and other AI technologies. Train. You’ll stay ahead of the curve - experimenting with new models, prompt engineering, fine-tuning, and tools. You’ll also share your knowledge within the team and benefit from our partners’ training offers (Google, AWS, etc.). Collaborate. You’ll work closely with clients, product owners, and non-technical stakeholders, balancing technical excellence with practical business impact. Gain broad experience: * Work on 1-3 projects per year across different industries and use cases - from customer service automation to knowledge management and internal tools. * Build real-world data and AI applications using modern tools like LangChain, PydanticAI, MCP servers, RAG pipelines, vector databases (e.g. FAISS, Weaviate), LlamaIndex, Vertex AI, OpenAI APIs, and Hugging Face models. * Shape the way clients use data and AI, driving innovation and best practices in production environments.   Your mindset: * Curious & forward-thinking. You are passionate about solving complex problems using cutting-edge AI and data technologies. * Hands-on. You have experience with LLMs (e.g. OpenAI, Claude, Gemini, LLaMA), prompt engineering, API integration, and ML frameworks. * Holistic. You understand the full ML lifecycle, including data preparation, model deployment, evaluation, and monitoring. * Communicative. You can break down technical concepts for diverse audiences in English and ideally in German as well. * Supportive. You coach junior team members, provide constructive feedback, and actively contribute to our culture of learning.   Profile: * Degree in computer science, AI, data science or similar field. * Experience: 3+ years of experience in machine learning or AI engineering, with hands-on AI projects in production. * Proficiency in Python and cloud-based AI services (GCP, AWS, or Azure). * Solid understanding of data analysis/engineering and AI-specific components like RAG, prompt design, fine-tuning, embeddings, and model evaluation. * Familiar with DevOps and ML-Ops best practices (Docker, Kubernetes, CI/CD). * Strong problem-solving skills, a sense of ownership, and a structured approach to work. * Languages: Business-fluent German and English (both written and spoken) are mandatory to participate in client workshops and deliver polished presentations. * Work Eligibility: A valid work permit for Germany.   Why ARTEFACT? * Challenging projects with national and international clients across industries (e.g. L’Oréal, Samsung, Allianz, Sanofi). * Diverse career paths, promotions based on your performance - not tenure. * Strong team culture and real collaboration across disciplines. * Personal development through workshops, certifications, coaching, and access to partner programs (Google, AWS, etc.). * Attractive benefits: hybrid work, flexible hours, 1 additional day off for your birthday, Christmas & New Year's Eve off, mental health support, 4 weeks of workation, corporate benefits, office brunch, team events, and more.   Let’s shape the future of AI - together! Don't worry if you don't meet all the criteria! At Artefact, we value motivation, pragmatic problem-solving, and potential above all else. If you are excited about shaping the future of AI and ready to make a real impact, we'd love to hear from you. Artefact is a global consulting company specializing in data and AI services, headquartered in Paris. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global market leaders. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. Artefact is dedicated to leveraging data and AI to enhance organizations and their people. We believe that unique perspectives fuel innovation. At Artefact, we are committed to creating an inclusive environment where everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender identity, sexual orientation, race, ethnicity, religion, age, background, or disability. Come as you are! Curious to learn more? Reach out to us at: bewerbung-de@artefact.com.