ML OPS - Graduate Engineer

Iris Software Inc.; Dadri; On-site; INR 180,000 - 240,000; Full time

Job summary

Iris Software invites applications for an MLOps Intern to assist Generative AI solutions. You will collaborate with ML and Cloud Engineers to improve reliability and scalability of AI systems.

The role focuses on deploying ML models, automating workflows, monitoring performance, and building observability. Strong Python skills and communication are essential, with opportunities for hands-on learning and growth.

Qualifications

• Bachelor’s or Master’s degree in CS/DS/AI/IT or related field.
• Familiarity with ML concepts and model lifecycle.
• Proficiency in Python programming.
• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.

Responsibilities

• Assist in deploying ML models in development, staging, and production environments.
• Help automate ML workflows using CI/CD tools and DevOps practices.
• Monitor model performance, data drift, and system health metrics.
• Set up logging, observability, and alerting for ML systems.
• Document processes, workflows, and technical configurations.

Skills

Python

ML concepts

Data analysis

Communication

Teamwork

Education

Bachelor's or Master’s in CS/DS/AI/IT

Tools

Prometheus

Grafana

Azure Monitor

Job description

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.

Job Description

About the Role

We are looking for a highly motivated MLOps Intern to support Generative AI solutions. The intern will work closely with ML Engineers, and Cloud Engineers to improve the reliability and scalability of AI systems.

Key Responsibilities

• Assist in deploying and maintaining machine learning models in development, staging, and production environments.
• Help automate ML workflows using CI/CD tools and DevOps best practices.
• Monitor model performance, data drift, and system health metrics.
• Assist in setting up logging, observability, and alerting mechanisms for ML systems.
• Document processes, workflows, and technical configurations.

Required Qualifications

• Pursuing or recently completed a Bachelor's/Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or related field.
• Understanding of Machine Learning concepts and model lifecycle.
• Proficiency in Python programming.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Skills

• Familiarity with MLOps tools such as:
• Exposure to monitoring tools like Prometheus, Grafana, or Azure Monitor.
• Familiarity with SQL and data engineering concepts.
• Exposure to Large Language Models (LLMs), Prompt Engineering, and Generative AI workflows.

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.