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MLOps Developer - Azure Data Factory/Databricks (6-9 yrs) Any Location (DevOps) | Developer in Tec1

GOOGNU DATA SERVICES PRIVATE LIMITED

This listing was posted on hirist.

MLOps Developer - Azure Data Factory/Databricks (6-9 yrs) Any Location (DevOps)

Location:
Any Location
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)
Education/experience:
5 To 7 Years
Company:
Goognu Data Services
Posted:
May 16 on hirist
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More About this Listing: MLOps Developer - Azure Data Factory/Databricks (6-9 yrs) Any Location (DevOps)
MLOps Developer - Azure Data Factory/Databricks (6-9 yrs) Any Location (DevOps) is a Technology Developer Job at Goognu Data Services located in India. Find other listings like MLOps Developer - Azure Data Factory/Databricks (6-9 yrs) Any Location (DevOps) by searching Oodle for Technology Developer Jobs.