onsite
Data/AI Engineer - Deloitte
AI Engineer
Design and implement end‑to‑end AI and data solutions, building scalable pipelines, models, and cloud infrastructure to help clients modernize their business processes and analytics.
About the role
Key Responsibilities
- Design, develop, and deploy scalable data pipelines and AI models using Python, SQL, and modern ETL frameworks.
- Architect cloud‑based solutions on AWS (or Azure) to support data ingestion, storage, processing, and analytics.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications and integrated data products.
- Implement best practices for data quality, governance, and security throughout the solution lifecycle.
- Provide technical guidance and mentorship to junior engineers and contribute to continuous improvement of development processes.
Requirements
- Strong proficiency in Python and SQL for data manipulation and model development.
- Hands‑on experience building ETL pipelines and data warehouses on cloud platforms (AWS, Azure, or GCP).
- Solid understanding of machine‑learning concepts and experience deploying models in production.
- Familiarity with containerization (Docker) and orchestration tools (Kubernetes, Airflow) is a plus.
- Excellent problem‑solving skills and ability to work in fast‑paced, client‑focused environments.
Skills
pythonsqlmachine learningaws