Wavestone
Management Consulting
Managerdata&AIengineer(H/F)
“Manager - data & AI engineer (H/F) at Wavestone. Skills: Data Engineering, AI Engineering, GenAI, MLOps. Define data architectures. Implement data architectures”
Industry & Context.
What They're Looking For.
Must Have
6+ years Data Engineering, Pilot Data Engineers teams, Mastery of technical subjects, Contributed to major projects, Mastery of complex sales cycle, Participated in complex sales, Fluent French, Fluent English
Nice to Have
Experience with Kubernetes, Experience with Databricks, Experience with Snowflake, Experience with Dataiku, Experience with Azure, Experience with AWS, Experience with GCP
What You'll Do.
Define data architectures
Implement data architectures
Structure data pipelines
Industrialize AI use cases
Industrialize GenAI use cases
Industrialize BI use cases
Implement MLOps practices
Implement LLMOps practices
Design GenAI components
Operate GenAI components
Define architecture patterns
Define tooling standards
Define development standards
Provide technical guidance
Implement data quality practices
Implement data observability
Contribute to data governance
Design agentic solutions
Transform processes into workflows
Identify commercial opportunities
Lead pre-sales activities
Manage annual objectives
Disseminate best practices
Manage multiple projects
Develop Data & AI offering
Identify market trends
Structure convictions
Represent Wavestone externally
Represent Wavestone internally
How You'll Work.
Team & Collaboration
Data Platform Engineers; DevOps teams; Architects; Security teams; AI Factory squads; Business teams
Applying for this Manager - data & AI engineer (H/F) role?
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