Your contribution to something big:
As an AI/ML Engineering Lead, you will build and guide a high‑performing team of experts in machine learning, GenAI, and digital engineering solutions. You will define the technical vision, lead complex AI initiatives, and ensure the delivery of robust, scalable, and compliant AI systems that support engineering and manufacturing excellence.
- Set up, lead, mentor, and develop a growing team of AI/ML and digital solutions experts.
- Define the team’s technical roadmap and oversee project execution to ensure high‑quality delivery.
- Design and implement ML systems for engineering and manufacturing use cases.
- Develop and deploy innovative AI/ML solutions to optimize product design and manufacturing workflows.
- Provide strategic technical support for implementing AI/ML solutions in production environments.
- Manage the release of ML models and support handover to operations/DevOps.
- Co‑develop solutions with business stakeholders, domain experts, and data engineers.
- Contribute to internal communities of practice and promote knowledge sharing.
- Design and implement GenAI agents supporting engineering tasks such as requirements analysis, documentation assistance, test interpretation, and failure analysis.
- Build AI pipelines using LLMs, embeddings, vector databases, and domain‑specific knowledge sources.
- Integrate AI agents with engineering tools, databases, and repositories (e.g., PLM systems, test data platforms, document repositories).
- Ensure reliability, traceability, and safe behavior of AI agents in regulated engineering environments.
- Collaborate with domain experts to evaluate usability, performance, and fit‑for‑purpose.
- Document architectures, APIs, integration points, and operational guidelines.
- Work closely with security and compliance teams to ensure responsible and compliant AI usage.
- Ideally: Lead digital projects using Scrum or classical project management, with domain experience in product or manufacturing engineering.