AI, Data, and Apps to power sustainable product and supply chain decisions at scale
Senior Data Scientist – m/f/x
Location
Germany
Posted
84 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist – m/f/x
Makersite
• Develop and Deploy Production-Grade AI Systems • Build, deploy, and maintain scalable APIs that serve AI/ML models in production environments • Own end-to-end delivery of AI solutions, from prototyping to fully productionized systems • Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases • Build and orchestrate AI agents using frameworks such as LangGraph, CrewAI, or similar • Evaluate and select appropriate large language models (LLMs) and foundation models based on specific use cases • Continuously optimize model inference for latency, cost efficiency, and throughput at scale • Identify bottlenecks and implement improvements to ensure high-performing systems • Implement robust monitoring, logging, and alerting for deployed models and services • Ensure system reliability, uptime, and performance through best practices in production ML systems • Build and maintain CI/CD pipelines for seamless testing, deployment, and iteration of AI systems • Contribute to evolving engineering standards as the company transitions from rapid experimentation to more structured, scalable operations • Work closely with product and engineering teams to integrate AI capabilities into core products • Translate business problems into technical solutions and clearly communicate trade-offs • Help bring stability and structure to AI development processes during a high-growth, scale-up phase • Balance speed of execution with the need for maintainable, well-documented, and scalable systems • Take ownership of ambiguous problems and drive them through to practical, production-ready outcomes
Job Requirements
- 5+ years of experience in Python
- ~10 years of overall software engineering or data experience
- 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 similar
- Solid 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 datasets
Benefits
- 30 Days Paid Time Off
- Remote-First Flexibility
- Generous Learning & Development Budget
- Choose Your Ideal Work Equipment
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