Senior Machine Learning Operations Specialist

2 weeks ago


Chennai, Tamil Nadu, India Ennsee Technologies Full time
MLOps Engineer Role

We are seeking a highly skilled MLOps Engineer to join our team at Ennsee Technologies. As an MLOps Engineer, you will be responsible for designing, implementing, and maintaining the machine learning lifecycle management process.

Key Responsibilities:
  • Develop and maintain containerization and orchestration tools like Docker and Kubernetes.
  • Collaborate with cross-functional teams to ensure seamless integration of machine learning models into production environments.
  • Design and implement infrastructure as code (IaC) tools and principles to automate infrastructure setup and management.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience in MLOps or DevOps roles with a strong understanding of machine learning lifecycle management.
  • Familiarity with cloud platforms (e.g. AWS, Azure, GCP) for deploying and managing ML models.
Preferred Skills:
  • Experience with DevOps tools such as Kubernetes, Docker, and Jenkins for CI/CD pipeline integration.
  • Strong understanding of infrastructure as code (IaC) tools and principles to automate infrastructure setup and management.
  • Proficiency in cloud platforms (e.g. AWS, Azure, GCP) for deploying and managing ML models.

MLOps, Machine Learning, ml operations, Cloud Applications, AWS, Azure, Google Cloud Platform, Kubernetes, Docker, Jenkins, iac



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