AI / ML Engineer Lead

About MIGx

MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others.

MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed services and compliance.

Project Description

We're looking for an experienced AI / ML Lead to join and expand our Data and AI Engineering team. This is a hands-on leadership role ideal for those who are passionate about both advancing AI capabilities - particularly LLMs (Large Language Models) and ML systems - and building high-performing engineering teams. You will lead the strategic direction of AI / ML initiatives, mentor junior engineers, and continue to actively contribute to designing and deploying production-grade AI solutions for the life sciences industry.

You'll combine technical excellence with leadership acumen, overseeing the development of intelligent systems, scalable AI infrastructure, and internal platforms while fostering a collaborative, innovative culture within the team. We welcome leaders with deep hands-on experience who thrive in environments that value both technical rigor and people development.

What You'll Do

• Lead and mentor the AI / ML engineering team, fostering a culture of technical excellence, continuous learning, and collaboration.
• Define and communicate the technical vision and roadmap for AI / ML initiatives across the organization.
• Conduct code reviews and architectural reviews to ensure best practices, scalability, and security in AI / ML systems.
• Actively design, build, and deploy LLM-powered applications and internal tools for use cases such as document understanding, process automation, and knowledge retrieval.
• Develop and maintain reusable AI infrastructure and platform components that support application teams (e.g., retrieval-augmented generation, prompt management, model orchestration).
• Oversee the end-to-end lifecycle of ML models : experimentation, evaluation, versioning, and deployment using tools like MLflow and CI / CD pipelines.
• Work with embeddings, vector stores, and similarity search to enable contextual AI responses in production systems.
• Integrate with vector databases (e.g., FAISS, Weaviate, or Pinecone) to support semantic search and information retrieval at scale.
• Collaborate with Data Engineers, Backend Engineers, and other stakeholders to align AI / ML work with business objectives and technical constraints.
• Champion good engineering practices around testing, observability, monitoring, and CI / CD for AI components.
• Guide technical hiring, conduct candidate interviews, and contribute to building a diverse and inclusive team.
• Lead discussions on AI ethics, responsible usage, model explainability, and compliance - especially for regulated use cases in healthcare.
• Contribute to and drive architectural decisions, system design, and strategic product discussions.
• Support team members through career development, performance feedback, and professional growth opportunities.

What We're Looking For

Core Experience & Skills

Nice to Have

What we offer