MLOps Engineer

4 weeks ago

MumbaiPune, India DigitalCube Consultancy Full time

Role : MLOps Engineer

Job Type : Full time

Location : Pune/ Mumbai, India


Job Description :

Responsibilities :

  • Collaborate with data scientists, engineers, and other stakeholders to streamline the machine learning model deployment process.
  • Design, build, and maintain CI/CD pipelines for machine learning model deployment and automation using tools like GitHub Actions, YAML, and Terraform.
  • Implement containerization strategies and manage Docker-based deployments for machine learning models.
  • Utilize Kubernetes for orchestration and management of containerized applications.
  • Develop and maintain monitoring and alerting systems using Prometheus, Grafana, and ELK stack to ensure the health and performance of deployed models.
  • Implement and manage machine learning infrastructure on cloud platforms such as Azure ML and AWS Sagemaker.
  • Continuously optimize and improve MLOps workflows for scalability, reliability, and efficiency.
Skills and Qualifications :
  • Strong proficiency in Azure ML, DataBricks, ML Flow, and AWS Sagemaker for model development and deployment.
  • Proficiency in DevOps practices, CI/CD pipelines, version control systems (e.g., GitHub), and automation using tools like GitHub Actions and YAML.
  • Experience with infrastructure as code tools such as Terraform for provisioning and managing cloud resources.
  • Expertise in containerization technologies like Docker and orchestration tools like Kubernetes for deploying and managing applications.
  • Knowledge of monitoring and observability tools such as Prometheus, Grafana, and ELK stack for tracking performance metrics and logs.
  • Familiarity with machine learning concepts and the ability to work closely with data scientists to operationalize models effectively.
  • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Education and Experience :
  • Bachelor's or master's degree in computer science, Engineering, or related field.
  • Experience in MLOps, DevOps, or a similar role within the machine learning domain.
  • Relevant certifications in Azure, AWS, Kubernetes, or other related technologies are a plus.
Must Have :

Azure ML, DataBricks, ML Flow, DevOps methodologies, CI/CD pipelines, GitHub, GitHub Actions, YAML, Terraform, containerization, Kubernetes, Prometheus, Grafana, ELK stack, and AWS Types : Full-time, Permanent


(ref:hirist.tech)

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