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MLOps Engineer


Strategic HR Solutions


Location

Hyderabad | India


Job description

JOB DESCRIPTION :- Specialized in deployment, monitoring, and maintaining AI models in production - Good knowledge of different services on cloud that can be used for bringing in optimization, efficiency into ML Ops - Guide junior ML engineers to adopt best practices in terms of code optimization, refactoring etc. - Support code reviews. - Building deployment pipelines and automation - Containerization and Orchestration (e.g., Docker, Kubernetes)- Strategize, plan and deliver MLOps initiatives by liaising with key business stakeholders - Design, develop and deploy complex AI/ML solutions on cloud infrastructure (using ML engineering, ML Ops workflows & tools) that can scale in response to changing business and technical requirements - Create infra and architecture diagrams(for Architect position)- Ability to project manage, allocate activities to junior/senior ML engineers and take it to closure - Improvise coding practices, support code reviews and bring in best practices for model management - Provide thought leadership in terms of new technologies and tools, suggest improvements - Able to support in the interview process to hire junior and senior ML engineers- Continuous integration and continuous deployment (CI/CD) implementation (ref:hirist.tech)


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