Senior Data Scientist with MLOps and AgenticAI Experience in Production

This is a high-impact and hands-on role within our AI and Analytics team, focused on shaping and scaling our AI/ML and GenAI systems. Your mission is to be a core part of the team building the foundation behind the company's simulations. Your focus will be on tech lead responsibilities as well as proactive contributions to define and build high-value ML, LLMs, and Agentic models which will impact company KPIs.

You will:

• Act as staff data scientist and AI/tech lead for the team

• Contribute with hands-on coding in Python

• Contribute to building AI & GenAI product vision and roadmap together with stakeholders

• Design and build AI architecture for all solutions and use cases that are developed

• Design and build the Agentic architectures and effectively integrate and guide state-of-the-art LLMs and Agentic AI.

• Lead and implement MLOps best practices, overseeing the complete ML development lifecycle from PoC to production, deployment, and integration

Requirements:

• Strong software engineering fundamentals and a commitment to building high-quality, maintainable, and production-ready code.

• Hands-on experience with Agentic frameworks, serverless platforms, and real-time LLMs orchestration systems.

• Deeply engaged with the bleeding edge of AI innovation, with hands-on experience applying recent advancements (within the last ~6 months) to practical, interactive systems.

• Hands-on experience building with or fine-tuning open-source models is a major plus.

• Hands-on experience with AWS engineering or other cloud platforms is a big plus.

• Background in engineering, mathematics, physics, or computer science is required.

• Experience developing or applying traditional ML models in big enterprises is strongly preferred.

Other Details:

Start: Asap
Length: 6 months with room for extension
Location: Stockholm 2-3 days on site/week