MLOps/DevOps/CloudOps

Job Overview:

• We are on the lookout for an experienced MLOps DevOps CloudOps Engineer with 5 to 9 years of expertise in constructing, automating, and overseeing cloud infrastructure and machine learning platforms.
• The ideal candidate must possess robust knowledge in AWS, Python, CI/CD, Infrastructure as Code (IaC), Kubernetes, and MLOps workflows.

Core Responsibilities:

• A typical day as an Infoscion
• Within the Infosys delivery team, your main responsibility will be to engage with clients for quality assurance, issue resolution, and ensuring exceptional customer satisfaction.
• You will analyze requirements, create and review design documents, validate architectural structures, and guarantee superior service offerings to clients in the technology sector.
• Your role will include participating in project estimation, providing insights for solution delivery, conducting technical risk assessments, and performing code and unit test plan reviews.
• You will lead and mentor your teams in developing optimized, high-quality code outputs, fostering continuous knowledge sharing, and ensuring compliance with organizational guidelines and processes.
• As a vital contributor, you will aid in the development of efficient programs and systems. If you believe you are the right fit to assist our clients in their digital transformation journey, this is the ideal opportunity for you.
• If you think you are well-suited to support our clients in navigating their next steps in digital transformation, this is the place for you.

Technical Qualifications:

• Minimum of 2 years of experience in DevOps, Cloud, or MLOps with proficiency in Python for scripting and automation.
• Proficient in Jenkins, Git, Docker, EKS, and troubleshooting.
• Experience with AWS services such as SageMaker, Lambda, S3, ECS, IAM, and RDS for infrastructure creation.
• Familiarity with IaC tools including CloudFormation (CFT) and Terraform.
• Expertise in MLOps, focusing on building and operating ML pipelines, deploying to SageMaker, Databricks, or Lambda.

Desirable Skills:

Technology->AI-AI Engineering->MLOps, Technology->Cloud Platform->Amazon Web Services DevOps, Technology->AI-Data Science->PYTHON