Summary role description:

Hiring for an AWS MLOps Engineer for a niche scale-up IT Services and Digital solutions provider.

Company description:

Our client is a US Headquartered scale-up IT Services and Digital solutions provider, with domain-driven, niche, high-end platform offerings for their clients in the US and across the globe. They were founded in 2016 and are currently in scale up mode. They accelerate transformational outcomes for clients using our connected brilliance of engineering, intelligence, and experiences. By leveraging a connected mindset and modern engineering practices, they unlock value that elevates human experiences to shape a better future.

Role details:

• Title / Designation: AWS MLOps Engineer
• Reporting Manager: Lead Data Scientist
• Location: Chennai

Role & responsibilities:

• Develop and deploy cloud-based solutions, implementing MLOps specifically on the AWS platform.
• Establish orchestration for CI/CD pipelines using GitLab CI, GitHub Actions, or equivalent tools.
• Review data science models, conduct code refactoring, optimize, containerize, deploy, version, and monitor their quality.
• Perform testing, validation, and automation of tests for data science models.
• Collaborate with a team of data scientists, data engineers, and architects, and thoroughly document the associated processes.

Candidate requirements:

• 5 to 10 years of hands-on experience utilizing AWS, MS Azure, or GCP services.
• Proficient in designing and implementing cloud solutions, with a specific emphasis on constructing MLOps pipelines on AWS.
• Familiarity with AWS Sagemaker is a prerequisite, and experience with MLFlow, Docker, and Kubernetes is advantageous.
• Mandatory expertise in AWS Sagemaker and solid programming skills in Python.
• Thorough understanding of Ubuntu Linux, along with knowledge of frameworks like scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Proficiency in comprehending tools employed by data scientists, coupled with experience in software development and test automation.
• Fluent in English, possessing effective communication skills, and adept at collaborative teamwork.
• Holds a bachelor’s degree in Computer Science or Software Engineering.
• Good to have any associate Cloud Certification

Selection process:

• 2 technical Discussions
• HR Discussion