Barcelona
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. 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. 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. Oversee the end-to-end lifecycle of ML models: experimentation, evaluation, versioning, and deployment using tools like MLflow and CI/CD pipelines. Integrate with vector databases (e.g., 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. 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. ~ 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., 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. ~ 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. Experience with cloud infrastructure and MLOps across Azure, AWS, or GCP; cloud-agnostic or multi-cloud experience. 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. Hybrid work model and flexible working schedule that would suit night owls and early birds ~ Attractive social benefits package ~25 holiday days per year ~ Free English classes ~ Different training programs to support your personal and professional development ~