MLOps Engineer

1 - 3 years

3 - 5 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work from Office

Job Type

Full Time

Job Description

Machine Learning DevOps CI/CD Python kubeflow AWS/Azure/GCP Docker Kubernetes About the Role

We are looking for talented and passionate individuals to join our team as MLOps Engineers. This full-time position is based in Bengaluru, Hyderabad, and Chennai, and requires working from the office. As an MLOps Engineer, you will play a crucial role in developing and deploying machine learning models, ensuring seamless integration with DevOps tools and practices.

With zero years of experience required, this is an excellent opportunity for fresh graduates with a B.Tech degree to kickstart their career in the exciting field of MLOps.

Key Responsibilities
  • Design, build, and maintain scalable machine learning pipelines.
  • Implement CI/CD processes for machine learning models and workflows.
  • Work with cloud platforms like AWS, Azure, or GCP to deploy ML models.
  • Collaborate with data scientists and software engineers to integrate ML models into production environments.
  • Utilize containerization tools such as Docker and Kubernetes to manage deployments.
  • Monitor, troubleshoot, and optimize machine learning systems and applications.
  • Ensure compliance with best practices for security and performance in ML systems.
Required Skills & Qualifications
  • Education:

    B.Tech degree in Computer Science, Engineering, or a related field.
  • Technical Skills:

  • Proficiency in Python programming.
  • Strong understanding of Machine Learning concepts and frameworks.
  • Hands-on experience with DevOps practices and tools.
  • Knowledge of CI/CD pipelines.
  • Familiarity with Kubeflow.
  • Experience with cloud services (AWS, Azure, or GCP).
  • Expertise in containerization using Docker and Kubernetes.
  • Other Requirements:

    Ability to work from the office in Bengaluru, Hyderabad, or Chennai.
Compensation

The salary for this role ranges from 10,00,000 to 12,00,000 per year, based on skills and qualifications.

Benefits & Perks
  • Competitive salary package.
  • Opportunity to work on cutting-edge technologies in MLOps.
  • Collaborative and learning-oriented work environment.
  • Career growth and development opportunities.

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