Accelerator Lead Data & AI Engineering (Paris)
Tasks
- Build data pipelines under agile environment
- Define support models and own build and run activities
- Design and develop data pipeline modules
- Enforce GxP compliance
- Lead manage and mentor data and AI engineers
- Optimize reliability reusability latency and performance
- Optimize running costs of data modules
- Participate in community of practice
- Support data model design
- Support team professional development
- Translate business requirements into technical needs
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Ansible | Apache Airflow | Automation | CI/CD | Code Management | Confluence | Cybersecurity | Data Governance | Data Modeling | Data Security | Data Warehousing | Datadog | GitHub | Graph Database | GxP | IICS | Jira | LLM | Neo4j | Pinecone | Python | Query Tuning | R | SOX | SQL | Scripting | ServiceNow | Snowflake | Source Code | Source Code Management | Splunk | Terraform | Tibco | TigerDB | Timeseries Database | Vector Database
Education
Roles
AI Engineer | Data Engineer | Data and AI Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Lead Data and AI Engineer
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