7 - 10 years

India

Posted:11 hours ago

Job Description

We are seeking an experienced MLOps Lead to build and manage reliable machine learning deployment pipelines, streamline model operationalization, and support scalable AI/ML solutions within enterprise or government environments.
Key Responsibilities
  • Lead the design and implementation of MLOps processes and deployment pipelines.
  • Build and maintain CICD pipelines for AI/ML model deployment.
  • Enable automation across model development, testing, deployment, monitoring, and updates.
  • Implement and manage containerized and microservice-based architectures.
  • Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment.
  • Improve the scalability, reliability, and operational efficiency of ML systems.
  • Establish monitoring and maintenance practices for deployed models and pipelines.
Required Qualifications
  • B.Tech, M.Tech, or M.S. in Computer Science, Data Engineering, AI, or a related discipline.
  • Certifications in cloud DevOps or MLOps platforms, such as AWS DevOps Engineer, Azure DevOps Expert, or GCP Professional ML Engineer, are highly desirable.
  • Contributions to MLOps or DevOps open-source projects are preferred.
Required Experience
  • 7–10 years of experience in machine learning operations or DevOps engineering.
  • Minimum 4 years of experience building CI/CD pipelines for AI/ML model deployment in enterprise or government ecosystems.
  • Proven experience with containerized and microservice architectures.

Skills Required

Machine Learning Ai/ml Automation Model Development Devops B.tech Computer Science Data Engineering AWS Devops Azure Devops GCP Open Source

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