Senior Data Scientist (m/f/x)

About This Opportunity

We are representing a confidential SaaS organization at the forefront of sustainable product development. Our client is seeking a Senior Data Scientist to join their remote team across the EU. This is a permanent, full-time position where you'll build production-grade AI systems that enable companies to make more responsible decisions throughout their product lifecycle.

As our talent team works with this growing organization, we're looking for an innovative data scientist who can balance rapid experimentation with scalable engineering practices. You'll own AI solutions from prototype to production, working with cutting-edge technologies in a remote-first environment.

Responsibilities

• Develop and deploy scalable APIs serving AI/ML models in production environments
• Own end-to-end delivery of AI solutions from prototyping through full productionization
• 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 and foundation models based on use cases
• Optimize model inference for latency, cost efficiency, and throughput at scale
• Implement monitoring, logging, and alerting for deployed models and services
• Build and maintain CI/CD pipelines for testing, deployment, and iteration of AI systems
• Collaborate with product and engineering teams to integrate AI capabilities into core products
• Drive structure and best practices in AI development during a high-growth phase

What We're Looking For

Required Experience:

• 5+ years of experience in Python, with approximately 10 years of overall software engineering or data experience
• Proven experience building and deploying production-grade APIs (preferably FastAPI; REST/GraphQL a plus)
• Hands-on experience with large language models and LLMOps, including prompt engineering, fine-tuning, and evaluation
• Strong experience fine-tuning open-source models (e.g., Hugging Face ecosystem)
• Practical experience designing and working with vector databases (Pinecone, Weaviate, Chroma, pgvector)
• Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, or similar
• Solid understanding of model deployment and serving (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
• Must be residing in and legally permitted to work in the EU

Preferred Experience:

• Experience with MLOps platforms such as MLflow or Weights & Biases
• Familiarity with cloud AI ecosystems (AWS Bedrock, GCP Vertex AI, Azure OpenAI)
• Contributions to open-source AI/ML projects
• Experience in sustainability or climate-focused domains
• Background in B2B SaaS environments
• Prior experience in a startup or scale-up environment (100-300 employees)

Key Attributes:

• Builder mindset: comfortable owning systems end-to-end
• Bias for action: operates effectively in fast-paced, evolving environments
• Systems thinker: designs solutions with scalability, reliability, and maintainability in mind
• Pragmatic decision-making: balances technical excellence with speed and business impact
• Ownership and accountability: takes responsibility for outcomes
• Clear communicator: articulates complex technical concepts to diverse stakeholders

How We Work With You

When you apply through Get A Job.ai, our recruiting team will review your profile and conduct an initial screening. We'll discuss your experience, career goals, and the opportunity in detail. If there's a strong mutual fit, we'll submit your profile to our client for consideration. Throughout the process, we'll keep you informed and provide guidance.

Please apply exclusively through Get A Job.ai. Do not contact the client directly, as all applications must come through our official channel to be considered.

Benefits

• Competitive salary reflecting your skills and experience
• 30 days paid time off
• Remote-first flexibility across the EU
• Generous learning and development budget
• Choice of work equipment (Apple or Microsoft)
• Purpose-driven work contributing to sustainability goals
• International, collaborative team culture

Pay

Pay details will be discussed during the screening process based on your experience and location.

Equal Employment Opportunity

Get A Job.ai is committed to inclusive recruiting practices. We welcome all qualified candidates and evaluate applications without regard to age, disability, gender identity, marital status, race, nationality, religion, sex, sexual orientation, or any other protected status. If you require accommodations during our process, please let us know.