Applied AI/ML Engineer - Healthcare & Pharma

Are you passionate about data and have an entrepreneurial spirit?

Since 1993, Alcimed has been exploring and developing uncharted territories, growing to over 200 people across 7 offices in Europe, the USA and Asia. At our core, we help our industry clients innovate and develop new markets in the Lifesciences sectors, with a very impact-oriented and grounded approach.

Building on this foundation, in 2024, Alcimed successfully launched Nautilus.ai, its Digital & AI activity dedicated to the design & development of function-specific, bespoke, ethical, and secure digital & AI tools.

At Nautilus.ai, we help Lifesciences industry players leverage data; harness and ethically apply state-of-the-art digital and AI technologies to build solutions which serve, and foster human added value - thereby enhancing their positive impact on healthcare systems and patients.

Your missions

As an AI/ML Engineer, you will work at the crossroads of healthcare innovation, artificial intelligence, and consulting. Embedded in lean, agile project teams, you will co-develop enterprise-grade AI-powered digital solutions directly within our clients’ ecosystems.

Your main responsibilities include:

• Translate healthcare and pharma business needs (R&D, medical affairs, commercial, etc.) into robust AI and ML solution designs with the most appropriate approach depending on client constraints and requirements: security, cost, performance, reliability and explainability
• Build and optimize data pipelines, fine-tuning strategies, and evaluation frameworks for domain-specific use cases
• Design, develop, and deploy AI-powered features leveraging LLMs, agentic AI systems, and modern ML techniques
• Collaborate closely with software engineers to integrate AI components into fully featured applications
• Act as a technical referent on AI topics within project teams and contribute to internal best practices
• Maintain direct interaction with clients throughout the project lifecycle, in an agile, product-oriented consulting approach

The real plus of your mission? You are in direct contact with our customers to help them move forward and shape the world of tomorrow.

Your profile

• Education: Master’s degree or PhD in Computer Science, Data Science, AI, Biomedical Engineering, or a related field
• Experience: 1–3 years of hands-on experience building AI / ML systems, ideally in healthcare, life sciences, or regulated industries
• Technical Skills: Strong proficiency in Python and modern ML / AI tooling
• Practical experience: with LLMs, including at least one of: RAG architectures, Fine-tuning techniques, Model evaluation and benchmarking, Agentic AI systems or MCP servers, using modern frameworks (e.g. LangChain, LlamaIndex, AutoGen, CrewAI or similar)
• Additional Skills: Familiarity with open-source LLM ecosystems is a strong plus, Ability to work in lean teams, take ownership, and make technical decisions
• Interests: Strong interest in healthcare, pharma, and applying AI to real-world impact
• Soft Skills: Comfortable in client-facing environments, able to explain complex AI concepts to non-technical stakeholders, Curious, entrepreneurial mindset, with a strong appetite for innovation and teamwork

Key skills:

• LLMs
• Agentic AI
• RAG
• Fine-tuning
• Python
• Applied AI
• Healthcare AI
• Life Sciences
• LangChain
• LlamaIndex
• MLOps
• Consulting
• Product Development

Employment Details

Full-time permanent contract to be filled as soon as possible

Work authorization: in the US is necessary