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MLOps Engineer - A D - Cigres Technologies
MLOps Engineer
MLOps Engineer building secure, scalable pipelines for ML/GenAI on AWS and Databricks, using Terraform, CI/CD, Docker, and Python to deliver production services with observability and cost optimization.
About the role
Key Responsibilities
- Design and implement end‑to‑end MLOps pipelines from notebooks to production services on AWS and Databricks.
- Build and maintain infrastructure‑as‑code with Terraform, ensuring reproducibility and compliance.
- Develop CI/CD workflows for ML and LLM applications, integrating automated testing, model validation, and deployment.
- Secure model serving and enforce DevSecOps practices across the data science lifecycle.
- Implement observability solutions to monitor model performance, latency, and cost in real time.
- Collaborate with Data Scientists, AI Product Owners, and Platform teams to optimize runtime performance and resource utilization.
Requirements
- Proven experience as an MLOps Engineer or similar role, delivering production ML/GenAI services.
- Strong proficiency in AWS services, Databricks, Terraform, CI/CD, Docker, and Python.
- Hands‑on knowledge of observability tools and DevSecOps practices.
- Excellent problem‑solving skills and ability to work cross‑functionally.
- Experience with Kubernetes and GenAI Ops is a plus.
Skills
mlopsawsdatabricksterraformcicddockerpython