MLOPS Engineer

6 days ago

Gurgaon, Haryana, India Cognizant Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Summary

As a Sr. Developer specializing in ML Ops and AWS Machine Learning you will play a crucial role in designing developing and deploying machine learning models and solutions. You will collaborate with cross-functional teams to enhance AI capabilities and drive innovation. Your expertise in Docker Kubernetes and Terraform will be essential in optimizing our AI infrastructure. This hybrid role offers the opportunity to work on cutting-edge projects in a dynamic environment.

Responsibilities

  • Develop and deploy machine learning models using AWS Machine Learning and Amazon Sagemaker to enhance AI capabilities.
  • Collaborate with cross-functional teams to design innovative AI solutions that align with business objectives.
  • Implement and manage ML Ops pipelines to ensure efficient model deployment and monitoring.
  • Utilize Docker and Kubernetes for containerization and orchestration of AI applications.
  • Leverage Terraform for infrastructure as code to automate deployment processes.
  • Maintain and optimize AI infrastructure to ensure high performance and scalability.
  • Conduct research and development to explore new AI and ML concepts and technologies.
  • Integrate AI solutions with existing systems using GIT for version control and collaboration.
  • Provide technical expertise and guidance to junior developers and team members.
  • Ensure compliance with industry standards and best practices in AI and ML development.
  • Monitor and evaluate the performance of AI models and make necessary improvements.
  • Document processes and methodologies to ensure knowledge sharing and continuity.
  • Stay updated with the latest advancements in AI and ML to drive continuous improvement.

Qualifications

  • Possess strong experience in ML Ops AWS Machine Learning and AI concepts.
  • Demonstrate proficiency in Docker Kubernetes and Terraform for AI infrastructure management.
  • Have a solid understanding of machine learning and artificial intelligence principles.
  • Experience with Amazon Sagemaker for model development and deployment.
  • Familiarity with GIT for version control and collaboration.
  • Research and development experience in AI and ML is a plus.

Certifications Required

AWS Certified Machine Learning Docker Certified Associate Kubernetes Administrator

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