ML Infrastructure Specialist

1 week ago


Noida, Uttar Pradesh, India beBeeInfrastructurespecialist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title: ML Infrastructure Specialist

As a seasoned ML Infrastructure Specialist with 7+ years of experience, you will design, build, and manage scalable infrastructure to support machine learning model development and deployment.

To excel in this role, you must have hands-on expertise in developing and maintaining CI/CD workflows for ML applications using tools like Jenkins, GitLab CI, etc. Your ability to automate model serving, monitoring, and performance tracking in production environments is crucial for ensuring seamless integration of ML models into production systems.

Key Responsibilities:
  • Collaborate with cross-functional teams including Data Scientists, Engineers, and Product teams to ensure smooth operations.
  • Develop and maintain containerized applications using Docker and orchestrate deployments with Kubernetes.
  • Design and implement efficient infrastructure solutions to meet scalability and reliability requirements.
  • Troubleshoot and resolve complex production issues related to ML infrastructure.
Required Skills and Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
  • Proficiency in Python, Shell scripting, and familiarity with ML/DL frameworks such as TensorFlow, PyTorch, and Keras.
  • Experience with deep learning techniques and generative AI frameworks is highly desirable.
  • Strong understanding of DevOps principles and tools used in continuous integration and continuous delivery (CI/CD).
  • Prior experience in roles such as Platform Engineer, ML DevOps Engineer, or Data Engineer is preferred.
  • Strong software engineering skills, especially in multi-language and complex system environments.
  • Excellent analytical, problem-solving, and troubleshooting skills.
  • Strong interpersonal and communication skills with the ability to work collaboratively across teams.
Benefits:

This role offers opportunities for professional growth and development in a dynamic environment. You will be part of a team that values innovation, collaboration, and customer satisfaction.

Others:

Please submit your resume and a cover letter highlighting your relevant experience and qualifications.


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