AI/ML Team Leader - Technology Development (f/m/div.)

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people's lives and to work towards a more sustainable future.

Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know-how which makes Bosch the leading supplier in the automotive market.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

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.

Qualifications

What distinguishes you

Education

• MSc or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Experience

• Experience leading a digital or AI/ML team in an engineering or manufacturing environment.
• 3+ years of hands‑on experience in applied Machine Learning or AI engineering.
• Proven experience designing ML systems in production environments.
• Experience in GenAI development, agent orchestration, or AI‑assisted engineering tools.
• Solid software engineering background (Python preferred; APIs, microservices).
• Familiarity with structured and semi‑structured data (JSON, PDFs, engineering documentation).
• Experience in collaborative software development environments.

Technical Skills & Know‑How

• Strong programming skills in Python and ML frameworks.
• Proficiency in MLOps practices, tools, and platforms (experiment tracking, lifecycle management).
• Knowledge of agent frameworks such as LangChain, LlamaIndex, OpenAI_Agents, CrewAI, Swarm, or MCP.
• Understanding of system design, distributed computing, and data architecture.
• Experience with CI/CD, testing, documentation, and version control.
• Proficiency in state‑of‑the‑art ML algorithms (anomaly detection, time‑series analysis, parameter optimization, root‑cause analysis).
• Experience in data visualization and storytelling.

Working Style & Methods

• Structured, reliable, and solution‑oriented working style.
• Ability to collaborate with cross‑functional engineering teams.
• Comfortable working in iterative, experimental environments.

Personality

• Natural leadership qualities with strong communication and mentoring skills.
• Curious, proactive, and eager to explore new technologies.
• Collaborative mindset and openness to diverse perspectives.