Hyderabad
Full time with CSI
Job Summary
Seeking a Senior Specialist with 7 to 11 years of experience in MLOps to drive the deployment automation and management of machine learning models within AIMLNLPMLOps environments
Job Description
Design develop and maintain scalable MLOps pipelines to support machine learning lifecycle management Collaborate with data scientists and engineers to automate model training validation deployment and monitoring Implement best practices for continuous integration and continuous delivery CICD specific to machine learning workflows Optimize infrastructure and workflows to enhance model performance reliability and scalability Work with cloud platforms and container orchestration tools to manage ML model deployments Ensure compliance with security and governance standards in MLOps processes Stay updated with the latest advancements in AI ML NLP and MLOps technologies to innovate and improve operational efficiency
Roles and Responsibilities
- Lead the endtoend MLOps strategy and execution for AIML projects Mentor and guide junior team members on MLOps best practices and tools.
- Collaborate crossfunctionally with data science engineering and operations teams to align
- MLOps initiatives with business goals Monitor and troubleshoot production
- ML models to ensure high availability and accuracy
- Develop and maintain documentation related to MLOps processes pipelines and standards
- Drive automation efforts to reduce manual intervention and improve deployment velocity
- Evaluate and recommend new tools and technologies to enhance MLOps capabilities
Skills
Mandatory Skills : MLOPS
Hyderabad Full time with CSI Job Summary Seeking a Senior Specialist with 7 to 11 years of experience in MLOps to drive the deployment automation and management of machine learning models within AIMLNLPMLOps environments Job Description Design develop and maintain scalable MLOps pipelines to...
Hyderabad
Full time with CSI
Job Summary
Seeking a Senior Specialist with 7 to 11 years of experience in MLOps to drive the deployment automation and management of machine learning models within AIMLNLPMLOps environments
Job Description
Design develop and maintain scalable MLOps pipelines to support machine learning lifecycle management Collaborate with data scientists and engineers to automate model training validation deployment and monitoring Implement best practices for continuous integration and continuous delivery CICD specific to machine learning workflows Optimize infrastructure and workflows to enhance model performance reliability and scalability Work with cloud platforms and container orchestration tools to manage ML model deployments Ensure compliance with security and governance standards in MLOps processes Stay updated with the latest advancements in AI ML NLP and MLOps technologies to innovate and improve operational efficiency
Roles and Responsibilities
- Lead the endtoend MLOps strategy and execution for AIML projects Mentor and guide junior team members on MLOps best practices and tools.
- Collaborate crossfunctionally with data science engineering and operations teams to align
- MLOps initiatives with business goals Monitor and troubleshoot production
- ML models to ensure high availability and accuracy
- Develop and maintain documentation related to MLOps processes pipelines and standards
- Drive automation efforts to reduce manual intervention and improve deployment velocity
- Evaluate and recommend new tools and technologies to enhance MLOps capabilities
Skills
Mandatory Skills : MLOPS
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