Data ScientistLocation: EU (Remote)At Makersite, we're pioneering the future of sustainable product development and digital collaboration. As a leading platform for product lifecycle management (PLM), we empower companies to make smarter, more sustainable decisions across their entire supply chain. Our cutting-edge software enables teams to design, prototype, and manufacture with transparency, efficiency, and responsibility—reducing environmental impact while optimizing performance.We're a fast-growing, innovative company that thrives on creativity, collaboration, and continuous learning. If you're passionate about technology, sustainability, and creating meaningful impact, we'd love to hear from you.
Join us and be a part of shaping the future of manufacturing and product innovation.As part of our growing team, you will play a key role in shaping the future of sustainable product development. We're looking for innovative, driven Data Scientists who are passionate about technology and sustainability to join us in building tools that enable companies to make smarter, more responsible decisions. In this role, you'll have the opportunity to collaborate with talented professionals, contribute to cutting-edge projects, and help drive the digital transformation of industries worldwide. If you're ready to make an impact and contribute to meaningful change, we want to hear from you!This role is a fixed, permanent position.
All successful applicants will receive a permanent employment contract regardless of location.Develop and Deploy Production-Grade AI SystemsBuild, deploy, and maintain scalable APIs that serve AI/ML models in production environmentsOwn end-to-end delivery of AI solutions, from prototyping to fully productionized systemsDesign Advanced AI ArchitecturesDesign and implement Retrieval-Augmented Generation (RAG) systems using vector databasesBuild and orchestrate AI agents using frameworks such as LangGraph, CrewAI, or similarEvaluate and select appropriate large language models (LLMs) and foundation models based on specific use casesOptimize Performance and ScalabilityContinuously optimize model inference for latency, cost efficiency, and throughput at scaleIdentify bottlenecks and implement improvements to ensure high-performing systemsEnsure Reliability and ObservabilityImplement robust monitoring, logging, and alerting for deployed models and servicesEnsure system reliability, uptime, and performance through best practices in production ML systemsEstablish Engineering Best PracticesBuild and maintain CI/CD pipelines for seamless testing, deployment, and iteration of AI systemsContribute to evolving engineering standards as the company transitions from rapid experimentation to more structured, scalable operationsCollaborate Cross-FunctionallyWork closely with product and engineering teams to integrate AI capabilities into core productsTranslate business problems into technical solutions and clearly communicate trade-offsDrive Structure in a Fast-Paced EnvironmentHelp bring stability and structure to AI development processes during a high-growth, scale-up phaseBalance speed of execution with the need for maintainable, well-documented, and scalable systemsTake ownership of ambiguous problems and drive them through to practical, production-ready outcomesJob RequirementsCore Experience5+ years of experience in Python, with ~10 years of overall software engineering or data experience (candidates transitioning from backend engineering are welcome)Proven experience building and deploying production-grade APIs (preferably with FastAPI; REST/GraphQL experience is a plus)Hands-on experience working with large language models (LLMs) and LLMOps, including prompt engineering, fine-tuning, and evaluation (e.g., GPT, Claude)Strong experience fine-tuning open-source models (e.g., Hugging Face ecosystem)Practical experience designing and working with vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector)Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, or similarSolid understanding of model deployment and serving (e.g., vLLM, TGI, or managed endpoints)Experience with CI/CD pipelines and modern deployment practices (Docker, Kubernetes, GitHub Actions)Strong experience working with and processing large-scale text datasetsPreferred ExperienceExperience with MLOps platforms such as MLflow or Weights & BiasesFamiliarity with cloud AI ecosystems (e.g., AWS Bedrock, GCP Vertex AI, Azure OpenAI)Contributions to open-source AI/ML projectsExperience in the sustainability or climate/product domainBackground in B2B SaaS environmentsPrior experience in a startup or scale-up environment (approximately 100–300 employees)Residing in and legally permitted to work in the EU.Key AttributesBuilder mindset: Comfortable owning systems end-to-end, from experimentation through to productionBias for action: Operates effectively in a fast-paced, evolving environment with shifting prioritiesSystems thinker: Designs solutions with scalability, reliability, and maintainability in mindPragmatic decision-making: Balances technical excellence with speed and business impactOwnership & accountability: Takes responsibility for outcomes, not just outputsClear communicator: Able to articulate complex technical concepts to both technical and non-technical stakeholdersWhat We Offer:Competitive Salary – We reward your skills and experience with a compensation package that reflects your value.30 Days Paid Time Off – Take the time you need to recharge and maintain a healthy work-life balance.Remote-First Flexibility – Work from anywhere in the EU, with the option to collaborate in person at our offices in Stuttgart, Berlin (role dependent).Generous Learning & Development Budget – We invest in your growth, providing ample resources for personal and professional development.Choose Your Ideal Work Equipment – Whether you prefer Apple or Microsoft, we'll equip you with the tools you need to excel.The Experience:Purpose-Driven Work – Build something meaningful. Here, you're not just creating another app; you're contributing to a transformative vision that you can be proud of.Great Colleagues – Join a team that's open, transparent, and international. We value inclusivity and foster a culture of collaboration and mutual respect.Work-Life Balance – As a remote-first company, we trust you to do your best work, your way. You have the flexibility to work when it suits you, ensuring a healthy balance between personal and professional life.Pride in Impact – We're already making a significant difference with global, well-known customers who share our vision.
Be part of something that matters.Stability with Ambition – With realistic growth plans, we're committed to changing the way things are made—without sacrificing our ambitious goals for innovation and impact.If you want to find out more about what it's like to work at Makersite, check out our Careers Page hereDiversity and InclusionIf you have a medical condition or an individual need