MLOps Engineer (BFSI)- MLEBAS
Job description
Job Title: MLOps Engineer (BFSI) Position Overview: The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models. Key Responsibilities: Build ML deployment pipelines. Implement CI/CD for machine learning workloads. Automate model retraining and validation. Establish model monitoring and observability. Manage ML infrastructure and environments. Ensure compliance and governance requirements. Required Skills: MLOps MLflow Kubeflow Docker Kubernetes Python GitHub Actions Azure DevOps Terraform Monitoring Tools Required Qualifications: Bachelor's degree in Computer Science or related field. 5+ years of MLOps or ML Engineering experience. Mandatory Industry Experience: Must have prior BFSI experience supporting regulated AI/ML environments, model governance, risk management, fraud analytics, or financial decisioning systems. For more details reach at resumes@navitassols.com