onsite
Senior Associate, AI Engineering - PricewaterhouseCoopers
Software Engineer
Senior AI Engineering Associate responsible for designing, building, and deploying scalable data and machine‑learning solutions using Python, Spark, and cloud services to turn raw data into actionable insights for clients.
About the role
Key Responsibilities
- Design and implement end‑to‑end data pipelines and analytics solutions on cloud platforms (AWS, Azure).
- Develop, train, and operationalize machine‑learning models using Python libraries and Spark.
- Collaborate with data scientists, architects, and business stakeholders to translate requirements into technical specifications.
- Ensure data quality, governance, and performance through testing, monitoring, and optimization.
- Containerize applications with Docker and orchestrate deployments using CI/CD best practices.
Requirements
- 5+ years of experience in data engineering or AI/ML engineering roles.
- Proficiency in Python, SQL, and big‑data frameworks such as Apache Spark.
- Hands‑on experience with cloud services (AWS, S3, EC2, Lambda) and infrastructure‑as‑code tools.
- Solid understanding of machine‑learning concepts, model lifecycle management, and containerization (Docker).
- Strong problem‑solving skills and ability to communicate technical concepts to non‑technical audiences.
Skills
pythonsqlapache sparkmachine learningawsdocker