onsite
AI and Data Engineer - Nous Group
Data Engineer
Lead the design and deployment of AI‑enabled data pipelines and tools, leveraging Python, ML, and cloud services to empower consultants with faster, higher‑quality insights.
About the role
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and AI models using Python and ML frameworks.
- Integrate data sources across cloud (AWS) and on‑prem environments, ensuring data quality and governance.
- Collaborate with cross‑functional teams to translate business requirements into technical solutions.
- Deploy and monitor models in production, optimizing performance and reliability.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- Proven experience in data engineering and machine learning with Python.
- Strong knowledge of SQL, data modeling, and ETL processes.
- Hands‑on experience with AWS services (S3, Glue, SageMaker, Lambda).
- Familiarity with containerization (Docker) and CI/CD pipelines.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonmachine learningawssql