onsite
Senior AI Engineer / Data Scientist
Data Scientist
Lead end‑to‑end AI solutions using Python and Apache Spark on Databricks, orchestrating automated CI/CD pipelines with Docker to deliver scalable machine learning models.
About the role
Key Responsibilities
- Design, develop, and deploy large‑scale machine learning models on Apache Spark within Databricks environments.
- Build and maintain CI/CD pipelines using Docker, ensuring rapid, reliable model releases.
- Collaborate with data engineering teams to optimize data pipelines and feature stores.
- Implement best practices for model monitoring, versioning, and reproducibility.
- Mentor junior engineers and contribute to technical strategy and architecture decisions.
Requirements
- 5+ years of experience in AI/ML engineering with strong Python skills.
- Proven expertise in Apache Spark and Databricks for big‑data processing.
- Hands‑on experience building CI/CD workflows with Docker and related tooling.
- Solid understanding of ML lifecycle, model deployment, and performance tuning.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonapache sparkdatabricksdockercicd