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 Qualified 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.
📌 MLOps Lead (Delhi)
🏢 MarbleX
📍 Delhi
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