Mlops with Azure
Published date: 2024/01/10
- Location: Pune, Maharashtra, India
Primary Skill –Mlops, Azure Data Bricks
Total Exp –8-17 years
Notice Period –Immediate to 30 days
Job Location – Any LTIMindtree
ML Ops Job Summary:
Azure Databricks MLOps engineer
• Experience in designing and building CI/CI/CT pipeline implementations using Azure DevOps
• Knowledge of Dockers, Kubernetes, familiarity with MLFlow, Databricks
• Hands of experience building MLOps platform
• As a Machine Learning Specialist, you will be a key stakeholder and owning responsibility in designing and implementing end to end ML solutions
• Operationalize and monitor machine learning models using high end tools and technologies.
• Design & implementation of DevOps principles in Machine Learning
• Data Science quality assurance and testing
• Model Governance and Monitoring
• Execute best practices in version control and continuous integration / delivery
• Collaborate with data scientists, engineers and other key stakeholders
• Work well in a fast-paced cross-functional environment
Skills/Requirements:
• Experience with SQL and databases.
• Experience with Machine learning frameworks, libraries and agile environments.
• Experience with version control tools such as Git, Bitbucket etc.
• Outstanding analytical and problem-solving skills
Total Exp –8-17 years
Notice Period –Immediate to 30 days
Job Location – Any LTIMindtree
ML Ops Job Summary:
Azure Databricks MLOps engineer
• Experience in designing and building CI/CI/CT pipeline implementations using Azure DevOps
• Knowledge of Dockers, Kubernetes, familiarity with MLFlow, Databricks
• Hands of experience building MLOps platform
• As a Machine Learning Specialist, you will be a key stakeholder and owning responsibility in designing and implementing end to end ML solutions
• Operationalize and monitor machine learning models using high end tools and technologies.
• Design & implementation of DevOps principles in Machine Learning
• Data Science quality assurance and testing
• Model Governance and Monitoring
• Execute best practices in version control and continuous integration / delivery
• Collaborate with data scientists, engineers and other key stakeholders
• Work well in a fast-paced cross-functional environment
Skills/Requirements:
• Experience with SQL and databases.
• Experience with Machine learning frameworks, libraries and agile environments.
• Experience with version control tools such as Git, Bitbucket etc.
• Outstanding analytical and problem-solving skills
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