Machine Learning Engineer

2 days ago

New Delhi, India Deloitte Full time

Hi, We are looking for Candidates who are having experience as ML Ops Engineer.


Experience Required: 5+ years.

Location: Pan 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.

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