Hi, We are looking for Candidates who are having experience as ML Ops Engineer .
Experience Required: 7+ years.
Location: Bengaluru, Karnataka, India
Responsibilities:
Model Deployment & Management:
- Design and implement end-to-end pipelines for deploying machine learning models into production environments.
- Ensure models are scalable and reliable and maintain high performance throughout their lifecycle.
- Automate the deployment and monitoring processes to enhance efficiency.
Monitoring & Maintenance:
- Monitor the performance of machine learning models in production to ensure they meet expected accuracy and latency.
- Set up alerting systems to identify and respond to issues in real time.
- Troubleshoot and resolve any issues related to model performance, data drift, and system integration.
Collaboration & Integration:
- Work closely with data scientists, software engineers, and product teams to understand model requirements and deployment needs.
- Integrate machine learning models with existing systems and data pipelines.
- Facilitate effective communication between teams to support seamless model deployment and operation.
Infrastructure & Tools:
- Develop and maintain the infrastructure required for deploying, scaling, and monitoring machine learning models.
- Utilize cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) for deployment and scaling.
- Implement CI/CD pipelines and best practices for model versioning and deployment.
Security & Compliance:
- Ensure deployed models comply with data privacy and security regulations.
- Implement measures to safeguard sensitive data and manage access controls effectively.
Optimization & Improvement:
- Continuously assess and optimize model performance and deployment processes.
- Research and integrate new tools, technologies, and methodologies to enhance ML operations.