MLOps Engineer

Job Title: MLOps Engineer - c2h

About the Role

We are looking for an experienced MLOps Engineer to join our team and play a critical role in deploying, automating, monitoring, and optimizing machine learning solutions. You will collaborate closely with data scientists, engineers, and product teams to ensure scalable, reliable, and efficient ML operations.

Key Responsibilities

• Design, build, and maintain ML pipelines for deployment and monitoring.
• Automate workflows to improve scalability and reduce manual intervention.
• Optimize performance of ML models in production environments.
• Collaborate with cross-functional teams to integrate ML solutions into business applications.
• Implement CI/CD practices for ML workflows.
• Ensure code quality and reliability using tools like SonarQube and Git.

Required Skills & Experience

• Strong expertise in Databricks, SQL, Python, and PySpark.
• Hands-on experience with CI/CD pipelines.
• Practical exposure to Jenkins, SonarQube, Jira, and Git.
• Solid understanding of ML lifecycle management and monitoring.
• Ability to work in fast-paced environments and deliver results.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of containerization (Docker, Kubernetes).
• Familiarity with model monitoring tools and ML observability frameworks.