Senior, Expert
Tech native for over 30 years, Devoteam guides businesses through sustainable digital transformation to deliver value. With over 11,000 tech architects in more than 25 countries across Europe, the Middle East, and Africa, Devoteam is committed to using technology to serve people. Devoteam has been a ServiceNow Elite Partner since 2019. In 2026, it was recognised as ServiceNow Partner of the Year for the fourth consecutive year.
About the Role
As an AI / ML Lead Consultant, 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 You’ll 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
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 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
Why to 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
Benefits and perks:
5 weeks of vacation per year (= 1 week extra)
4 “My Days” per year
Hybrid office
Flexible working hours
Udemy for business account
Meal allowance up to 32.000 CZK/year (129,50 CZK/day)
Cafeteria 1200 CZK/month (MultiSport Card available)
Phone tariff (unlimited calls, texts messages within the EU, 20GB of Internet)
Employee Referral Program
Sabbatical leave
Repurchase of hardware
Moreover, we offer:
Above standard working equipment
Company mobile phone (selection from Android/iPhone)
Company laptop (Windows/macOS)
Coffee, tea, snacks and breakfasts in the office
Company events and team buildings
Gifts for work anniversaries, promotion or childbirth
Friendly and open culture
And last but not least, you can rely on:
Transparent framework for career growth, reinforced by annual performance evaluations
Trust and autonomy, with no micro-management
Learning from senior colleagues and opportunities to collaborate with professionals from various industries
Usage of AI tools and access to elaborate, tailored AI training
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