Machine Learning & AI Engineer

About the Role

As a GCP Lead Consultant (m/w/d) you will lead customer engagements around modern data platforms machine learning and Generative AI on Google Cloud. You will combine technical leadership architectural ownership and delivery responsibility to help customers move from strategy and ideation to scalable production-ready solutions..

What Youll Do

• Lead customer engagements in the areas of Google Cloud Data AI Machine Learning and Generative AI
• Conduct Data Architecture AI/ML and GenAI workshops with customers
• Design and deliver fit-for-purpose solution architectures based on customer requirements business goals and technical constraints
• Take responsibility for delivery teams and ensure successful implementation of customer projects
• Create solution architecture documents technical designs and implementation roadmaps
• Support the development of end-to-end data and AI pipelines on Google Cloud
• Help customers industrialise AI use cases and move from prototype to production-ready solutions
• Design and support MLOps / LLMOps practices including CI/CD deployment monitoring and lifecycle management
• Advise customers on modern AI patterns such as LLM integration RAG architectures prompt engineering and foundation model adoption
• Collaborate with data engineers and developers to build scalable cloud-native solutions
• Contribute to the development of internal frameworks offerings service domains and reusable assets
• Support pre-sales business development and proposal activities
• Coach and mentor junior consultants and engineers
• Actively contribute to knowledge sharing and continuous learning within the team

Qualifications :

What You Bring

• A degree in Computer Science Engineering Mathematics or a related field
• 5 years of experience in data science machine learning AI engineering or a related consulting role
• Proven hands-on experience delivering solutions on Google Cloud Platform or equivalent cloud technologies
• Strong experience in designing and delivering complex technical architectures
• Hands-on experience with Vertex AI Gemini models and related cloud AI services
• Strong programming skills in Python or R
• Solid foundation in machine learning and AI frameworks such as TensorFlow PyTorch LangChain or LangGraph
• Experience setting up CI/CD pipelines for data and ML projects
• Experience with DBT and/or Dataform
• Fluent German and English both written and spoken

Nice to Have

• Good understanding of MLOps tools and best practices
• Experience with Generative AI use cases in enterprise environments
• Familiarity with RAG architectures vector databases and AI application monitoring
• Experience with Docker APIs and modern software engineering practices
• Experience with big data technologies such as Spark Hadoop or Hive
• Experience with NLP computer vision or advanced analytics
• Contributions to open-source projects or publications in relevant conferences or journals
• Two or more certifications in GCP AWS or Azure Architecture and/or Machine Learning

Additional Information :

Why Join Us

• Work on innovative and impactful Cloud Data & AI projects for leading clients across industries
• Join a fast-growing entrepreneurial environment with strong Google Cloud expertise
• Be part of a collaborative and international team of cloud data and AI specialists
• Take ownership and play a key role in shaping customer engagements and growing our Data & AI capabilities
• Benefit from continuous learning certification support and professional development opportunities
• Enjoy a culture built on respect ambition entrepreneurship collaboration and frankness
• Receive a competitive compensation package and grow in a supportive environment that empowers you to succeed

Remote Work :

No

Employment Type :

Full-time