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Associate MLOps Analyst

https://www.circlek.com Logo

Circle K

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Location:
India, Gurugram

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Associate MLOps Analyst will be a key member of Circle K's Data & Analytics team, working on implementing Azure data services, deploying ML models, building pipelines, automating workflows, and collaborating with cross-functional teams.

Job Responsibility:

  • Collaborate with data scientists to deploy ML models into production environments
  • Implement and maintain CI/CD pipelines for machine learning workflows
  • Use version control tools (e.g., Git) and ML lifecycle management tools (e.g., MLflow) for model tracking, versioning, and management
  • Design, build as well as optimize applications containerization and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure
  • Automating pipelines using understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow
  • Implement model monitoring and alerting systems to track model performance, accuracy, and data drift in production environments
  • Work closely with data scientists to ensure that models are production-ready
  • Collaborate with Data Engineering and Tech teams to ensure infrastructure is optimized for scaling ML applications
  • Optimize ML pipelines for performance and cost-effectiveness
  • Help the Data teams leverage best practices to implement Enterprise level solutions
  • Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project
  • Helping to define common coding standards and model monitoring performance best practices
  • Continuously evaluate the latest packages and frameworks in the ML ecosystem
  • Build automated model deployment data engineering pipelines from plain Python/PySpark mode
  • Collaborate with Data Scientists, Data Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML model life cycle.

Requirements:

  • Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)
  • Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)
  • 1-2 years of relevant working experience in MLOps
  • Knowledge of core computer science concepts such as common data structures and algorithms, OOPs
  • Programming languages (R, Python, PySpark, etc.)
  • Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)
  • Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools
  • Exposure to ETL tools and version controlling
  • Experience in building and maintaining CI/CD pipelines for ML models
  • Understanding of machine-learning, information retrieval or recommendation systems
  • Familiarity with DevOps tools (Docker, Kubernetes, Jenkins, GitLab).

Additional Information:

Job Posted:
July 17, 2025

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