MLOps Engineer

2 days ago

Gurgaon, Haryana, India C5i Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Description
We are looking for an experienced MLOps Engineer to join our team.

The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models.

This role offers the opportunity to work on cutting-edge AI solutions and drive efficiency in ML workflows.

Key Responsibilities

  • Design, develop, and maintain end-to-end MLOps pipelines for model training, deployment, and monitoring.
  • Collaborate with data scientists and engineers to productionize ML models efficiently.
  • Implement CI/CD pipelines for ML workflows using tools such as Jenkins, GitHub Actions, or Azure DevOps.
  • Manage containerization and orchestration using Docker and Kubernetes.
  • Utilize workflow orchestration tools like Apache Airflow or Kubeflow for scheduling and automation.
  • Implement and maintain model monitoring, observability, and drift detection frameworks.
  • Optimize model performance, ensure version control, and maintain reproducibility across environments.
  • Automate data ingestion, feature engineering, and model retraining pipelines.
  • Ensure security, compliance, and governance in model lifecycle management.
  • Collaborate with cross-functional teams to establish best practices for MLOps and cloud operations.
  • Provide support and documentation for model deployment and maintenance processes.

Required Skills

  • Experience: 4+ years of hands-on experience in deploying and monitoring machine learning models.
  • Basic understanding of ML and data science/modeling aspects.
  • Experience with open-source tools for MLOps, such as Kubernetes, Docker, and Apache Airflow and developing and streamlining workflows, building scalable pipelines, etc.
  • Ensuring successful model development, testing, optimization, scaling, monitoring/observability, and governance
  • Continuous integration and continuous deployment (CI/CD)
  • Proficiency in cloud platforms, especially Azure and/or AWS.
  • Strong scripting skills (e.g., Python) for automation and tool :
  • Strong problem-solving skills with a focus on finding efficient and scalable solutions.
  • Ability to learn new tools on the go and developing best practices is mandatory.

Qualifications

  • Bachelors/Masters degree in Computer Science, Data Science, Statistics, or a related field

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