GOOGNU DATA SERVICES PRIVATE LIMITED
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MLOps Engineer - Azure Databricks/Data Factory (6-8 yrs) Anywhere in
Location:
Anywhere in India/Multiple Locations
Description:
Job Description :Responsibilities :- Design and Implement MLOps Infrastructure: Build and maintain robust MLOps workflows using Azure Machine Learning and other Azure services to automate machine learning lifecycle from data preparation to model deployment and monitoring.- Collaborate with Cross-Functional Teams: Work closely with data scientists, software developers, and IT specialists to ensure seamless integration and deployment of ML models into production.- Continuous Monitoring and Optimization: Monitor the performance of machine learning models in production, identify issues with model drift, and optimize them for performance and scalability.- Data Governance and Security: Implement and enforce data governance and security policies compliant with industry standards, ensuring data integrity and privacy.- Research and Development: Stay abreast of the latest developments in MLOps technologies and Azure services. Evaluate and adopt new tools and practices to improve the deployment process and model performance.- Mentorship and Leadership: Provide guidance and mentorship to junior MLOps engineers and team members, fostering a culture of learning and continuous improvement.Qualifications :Education : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.Professional Experience: Minimum of 6 years of experience in a role focusing on machine learning, data engineering, or software development, with at least 3 years dedicated to MLOps.Technical Skills :- Proficiency in Azure Machine Learning, Azure Data Factory, Azure Databricks, and other relevant Azure services.- Strong experience in automating and orchestrating ML workflows at scale.- Knowledge of Python, SQL, and other scripting languages commonly used in data processing.- Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.- Experience with CI/CD tools and practices in a machine learning context. (ref:hirist.tech)
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More About this Listing: MLOps Engineer - Azure Databricks/Data Factory (6-8 yrs) Anywhere in
MLOps Engineer - Azure Databricks/Data Factory (6-8 yrs) Anywhere in is a Engineering Engineer Job at Goognu Data Services located in India. Find other listings like MLOps Engineer - Azure Databricks/Data Factory (6-8 yrs) Anywhere in by searching Oodle for Engineering Engineer Jobs.
MLOps Engineer - Azure Databricks/Data Factory (6-8 yrs) Anywhere in is a Engineering Engineer Job at Goognu Data Services located in India. Find other listings like MLOps Engineer - Azure Databricks/Data Factory (6-8 yrs) Anywhere in by searching Oodle for Engineering Engineer Jobs.