onsite
Senior Machine Learning Engineer - A D - Cigres Technologies
ML Engineer
Lead Senior Machine Learning Engineer building scalable, cloud‑native AI platforms. Design and deploy MLOps pipelines, REST APIs, and production‑grade infrastructure on Azure/AWS using Python, Kubernetes, CI/CD, and IaC tools.
About the role
Key Responsibilities
- Architect, develop, and maintain end‑to‑end MLOps pipelines for enterprise AI solutions on Azure/AWS.
- Design and expose ML/GenAI models via robust REST API services.
- Implement CI/CD workflows and Infrastructure as Code (IaC) to ensure repeatable, secure deployments.
- Collaborate with data scientists and software engineers to integrate LLMs and GenAI capabilities into production systems.
- Ensure high availability, scalability, and security of cloud‑native AI services.
Requirements
- 5+ years of experience in machine learning engineering with a focus on MLOps.
- Proficiency in Python, Kubernetes, and cloud platforms (Azure or AWS).
- Hands‑on experience with CI/CD pipelines, IaC (Terraform, CloudFormation), and REST API development.
- Strong understanding of cloud security best practices and scalable architecture.
- Experience with GenAI/LLM integration and Databricks is a plus.
Skills
mlopspythonkubernetescicd