Senior Data Scientist (m/f/x)

About This Opportunity

We are representing a confidential SaaS organization that is transforming how companies approach sustainable product development. Our talent team is searching for a Senior Data Scientist to join their EU-based remote team and build production-grade AI systems that drive meaningful environmental and business impact.

This is a permanent, full-time position offering the opportunity to work on cutting-edge AI/ML solutions while contributing to sustainability goals across global supply chains.

Responsibilities

In this role, you will:

• Develop and deploy scalable APIs serving AI/ML models in production environments, owning end-to-end delivery 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 technologies
• 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
• Implement robust monitoring, logging, and alerting for deployed models and services to ensure system reliability and uptime
• Build and maintain CI/CD pipelines for seamless testing, deployment, and iteration of AI systems
• Work closely with product and engineering teams to integrate AI capabilities into core products
• Help establish engineering best practices as the organization scales, balancing speed with maintainability
• Take ownership of ambiguous problems and drive them to practical, production-ready outcomes

What We're Looking For

Required Experience:

• 5+ years of experience in Python, with approximately 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 using the Hugging Face ecosystem
• Practical experience designing and working with vector databases such as Pinecone, Weaviate, Chroma, or 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 including Docker, Kubernetes, and 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 startup or scale-up environments (approximately 100–300 employees)

Key Attributes:

• Builder mindset: comfortable owning systems end-to-end from experimentation through production
• Bias for action: operates effectively in fast-paced environments with shifting priorities
• 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, not just outputs
• Clear communicator: able to articulate complex technical concepts to both technical and non-technical stakeholders

How We Work With You

When you apply through Get A Job.ai, here's what happens next:

• Our recruiting team will review your application and conduct an initial screening to understand your background and career goals
• If there's a strong match, we'll prepare and submit your profile to our client for consideration
• We'll guide you through each stage of the interview process and provide feedback along the way
• Please do not contact the client directly—all communication should flow through our talent team to ensure the best experience for everyone involved

Pay

Compensation details will be discussed during the screening process and will be competitive based on your experience level and location within the EU.

Additional Benefits Through Our Client:

• 30 days paid time off annually
• Remote-first work environment with flexibility across the EU
• Generous learning and development budget
• Choice of work equipment (Apple or Microsoft)

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome candidates from all backgrounds and encourage applications 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.