ML OPS

Why Join Iris?
Are you ready to do the best work of your career at one of
India's Top 25 Best Workplaces in IT industry
? Do you want to grow in an award-winning culture that
truly values your talent and ambitions
?

Join Iris Software — one of the
fastest-growing IT services companies
— where
you own and shape your success story
.

About Us
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us
At Iris, every role is more than a job — it's a launchpad for growth.

Our Employee Value Proposition,
"Build Your Future. Own Your Journey."
reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

Curious what it's like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description
Required Skills & Experience

• 8–10 years of overall experience, including 3+ years in MLOps or DevOps for ML systems.
• Hands-on expertise with AWS SageMaker — model training, endpoint deployment, pipelines, and model registry.
• Strong experience with AWS services: S3, Lambda, ECR, ECS/EKS, CloudWatch, IAM, Cloud Formation, and AWS CDK.
• Proven experience in AWS CDK (Cloud Development Kit) using Typescript for infrastructure automation and environment provisioning.
• Expertise in building and managing CI/CD pipelines for ML workflows (AWS CodePipeline, Jenkins, or GitHub Actions).
• Proficiency in containerization technologies — Docker and Kubernetes.
• Strong scripting and automation skills using Python, Typescript, and Bash.
• Experience with monitoring, logging, and drift detection for production ML models.
• Deep understanding of ML lifecycle management — model packaging, versioning, testing, and deployment.
• Familiarity with data pipelines and collaboration with Data Engineering teams for feature ingestion.
• Working knowledge of security, compliance, and governance practices in the banking/financial domain.
• Excellent communication, leadership, and stakeholder management skills across onsite–offshore teams

Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML

Cloud - AWS - AWS S3, S3 glacier, AWS EBS

Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate

Cloud - AWS - AWS SDKs, AWS CLI, AWS CloudFormation, AWS Cloudshell, AWS Cloud Development Kit

Beh - Communication

Development Tools and Management - Development Tools and Management - CI/CD

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Basic Bash/Shell script writing

DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Perks And Benefits For Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.