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.

• 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.

• 5+ years of hands-on experience in AI/ML engineering, with at least 2+ years in a leadership, mentorship, or senior engineering role.
• Proven track record of successfully building and deploying LLM-based systems in production (e.g., GPT, Claude, LLaMA, Mistral, etc.).
• Strong understanding of modern ML infrastructure: experiment tracking, model versioning, and deployment orchestration (MLflow, Weights & Biases, DVC, etc.).
• Hands-on experience with embeddings, vector databases (e.g., FAISS, Weaviate, Pinecone), and semantic search implementations.
• Solid grasp of AI/ML fundamentals: model evaluation, hyperparameter tuning, feature engineering, and performance optimization.
• Demonstrated experience leading technical teams, including hiring, mentoring, performance management, and conflict resolution.
• Experience driving technical strategy, architectural decisions, and cross-functional collaboration with non-technical stakeholders.
• Awareness of AI ethics, responsible AI practices, bias mitigation, and model explainability concerns.
• Strong communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Team-first mindset and experience fostering collaborative, agile environments (Scrum or Kanban).
• Professional working proficiency in English.

• Experience with Docker, Kubernetes, and containerization/orchestration in production environments.
• Expertise in prompt engineering, retrieval-augmented generation (RAG), and frameworks like LangChain or LlamaIndex.
• Experience with cloud infrastructure and MLOps across Azure, AWS, or GCP; cloud-agnostic or multi-cloud experience.
• Background in regulated industries (life sciences, healthcare), especially GxP environments and compliance requirements.
• Familiarity with advanced monitoring, logging, and observability tools for AI/ML workloads in production.
• Experience with distributed systems, big data processing, or complex data pipelines.
• Track record of contributing to open-source projects or publishing research in AI/ML domains.
• Spanish and/or Catalan language skills.

• English B2/C1
• Local Language is a plus

• Hybrid work model and flexible working schedule that would suit night owls and early birds
• Excellent compensation package
• Attractive social benefits package
• 25 holiday days per year
• Free English classes
• Possibilities of career development and the opportunity to shape the company’s future
• An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged
• Different training programs to support your personal and professional development
• Work in a fast growing, international company
• Friendly atmosphere and supportive Management team