Senior Data Scientist (m/f/x)

About This Opportunity

We are representing a confidential SaaS client in the product lifecycle management space. They are seeking a Senior Data Scientist to join their remote team across the EU. This is a permanent position where you'll build production-grade AI systems that enable more transparent and efficient supply chain decisions.

Our talent team at Get A Job.ai is conducting the initial search and screening for this role. Candidates who meet the core requirements will be presented directly to our client for consideration.

Responsibilities

• Develop and deploy production-grade AI systems, building scalable APIs that serve machine learning models in live 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 tools
• Evaluate and select appropriate large language models and foundation models based on specific use cases
• Optimize model inference for latency, cost efficiency, and throughput at scale
• Implement robust monitoring, logging, and alerting for deployed models and services
• Build and maintain CI/CD pipelines for seamless testing, deployment, and iteration of AI systems
• Contribute to evolving engineering standards as the organization scales operations
• Work closely with product and engineering teams to integrate AI capabilities into core products
• Translate business problems into technical solutions and communicate trade-offs clearly
• Help bring stability and structure to AI development processes during high-growth phases

What We're Looking For

Core Requirements:

• 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 with FastAPI; REST/GraphQL experience is a plus)
• Hands-on experience working with large language models 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
• Must be legally permitted to work in the EU

Preferred Qualifications:

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

Key Attributes:

• Builder mindset comfortable owning systems end-to-end
• Bias for action in fast-paced, evolving environments
• Systems thinker who designs for scalability, reliability, and maintainability
• Pragmatic decision-making that balances technical excellence with business impact
• Strong ownership and accountability
• Clear communicator able to articulate complex technical concepts to diverse stakeholders

How We Work With You

As Get A Job.ai's recruiting team, we handle the initial application and screening process. When you apply through our platform at getajob.ai, one of our recruiters will review your background and conduct an initial conversation to understand your experience and goals. Qualified candidates are then submitted directly to our client for their interview process.

Please do not attempt to contact the client directly, as all applications must come through our coordinated process to be considered.

This is a remote position available to candidates located in the EU. The role offers 30 days paid time off, a learning and development budget, and choice of work equipment (Apple or Microsoft).

Pay

Compensation details will be discussed during the screening process and are competitive with the market for this level of experience.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applicants from all backgrounds and consider all qualified candidates regardless of age, disability, gender identity, marital status, race, nationality, religion, sex, sexual orientation, or any other protected status. If you require accommodations during the application process, please let us know.