AIML Team Leader Technology Development (fmdiv.)

Your contribution to something big:

As an AI/ML Engineering Lead you will build and guide a highperforming 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 teams technical roadmap and oversee project execution to ensure highquality 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.
• Codevelop 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 domainspecific 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 fitforpurpose.
• 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 handson experience in applied Machine Learning or AI engineering.
• Proven experience designing ML systems in production environments.
• Experience in GenAI development agent orchestration or AIassisted engineering tools.
• Solid software engineering background (Python preferred; APIs microservices).
• Familiarity with structured and semistructured data (JSON PDFs engineering documentation).
• Experience in collaborative software development environments.

Technical Skills & KnowHow

• 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 OpenAIAgents CrewAI Swarm or MCP.
• Understanding of system design distributed computing and data architecture.
• Experience with CI/CD testing documentation and version control.
• Proficiency in stateoftheart ML algorithms (anomaly detection timeseries analysis parameter optimization rootcause analysis).
• Experience in data visualization and storytelling.

Working Style & Methods

• Structured reliable and solutionoriented working style.
• Ability to collaborate with crossfunctional 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 dont just happen. They are made...

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

Remote Work :

No

Employment Type :

Full-time