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

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.

Additional Information

Work #LikeABosch includes:

⚖️ Flexible work conditions

🔀 Hybrid work system

🌐 Exchange with colleagues around the world

🛡️ Health insurance

🧑‍⚕️ Medical office (psychology and general clinic) & Social Services Office on site

📚 Training opportunities (p.e., technical training, foreign languages training) & certifications

📈 Opportunities for career progression and continuous professional development

💲 Access to great discounts in partnerships and Bosch products

🏋️ Sports and health related activities

🚉 Great access to public transports

🚌 Free transport from Porto

💰 Flexible benefits platform

🅿️ Free parking lot

🍽️ Canteen

Success stories don´t just happen. They are made...

Make it happen! We are looking forward to your application!