Iris Software ML OPS – Graduate Engineer | MLOps & Generative AI

Iris Software ML OPS – Graduate Engineer | MLOps & Generative AI

Company: Iris Software
Job Role: ML OPS – Graduate Engineer
Job Description Role: MLOps Intern
Location: Noida, Uttar Pradesh, India
Posted On: 12 August 2026
Suitable For: Recent Graduates & Candidates Currently Pursuing Relevant Degrees
Job Area: MLOps, Machine Learning & Generative AI

About the Job

Iris Software is hiring for an ML OPS – Graduate Engineer position in Noida, Uttar Pradesh. The job description describes the role as an MLOps Intern supporting Generative AI solutions.

The selected candidate will work closely with ML Engineers and Cloud Engineers to improve the reliability and scalability of AI systems. The role provides exposure to machine learning model deployment, automation, monitoring, observability, and Generative AI workflows.

This opportunity is suitable for candidates who are currently pursuing or have recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field.

Key Responsibilities

• Assist in deploying and maintaining machine learning models across 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

Candidates should have:

• A Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field, either currently pursuing or recently completed.

• 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

The listing mentions the following as preferred:

• Familiarity with MLOps tools.

• Exposure to monitoring tools such as Prometheus, Grafana, or Azure Monitor.

• Familiarity with SQL and data engineering concepts.

• Exposure to Large Language Models (LLMs).

• Knowledge of Prompt Engineering.

• Understanding of Generative AI workflows.

Who Can Apply?

This opportunity is relevant for:

• Recent graduates in Computer Science, Data Science, AI, IT, or related fields.

• Candidates currently pursuing a Bachelor's or Master's degree in a relevant technical discipline.

• Candidates with Python programming skills.

• Candidates with an understanding of machine learning concepts.

• Candidates interested in MLOps, Machine Learning, Cloud, DevOps, and Generative AI.

• Candidates with strong analytical, problem-solving, communication, and collaboration skills.

Job Details

Why This Role Is a Good Opportunity for Recent Graduates

This role offers exposure to several growing areas of technology, including MLOps, machine learning model deployment, CI/CD automation, monitoring, cloud-related workflows, LLMs, and Generative AI.

For recent graduates who want to build a career at the intersection of Machine Learning, DevOps, Cloud, and AI, the role can provide practical exposure to the lifecycle of AI and ML systems.

How to Apply

Interested candidates can apply through the official Iris Software careers page.

Apply Here: https://careers.irissoftware.com/job/Noida-ML-OPS-Graduate-Engineer-UP/58771844/  

Frequently Asked Questions

1. What is the official job title?

The official job title listed on the careers page is ML OPS – Graduate Engineer.

2. What role is described in the job description?

The job description refers to the position as an MLOps Intern supporting Generative AI solutions.

3. Where is this position located?

The position is located in Noida, Uttar Pradesh, India.

4. Is this opportunity suitable for recent graduates?

Yes. The job description states that candidates who have recently completed a relevant Bachelor's or Master's degree can apply.

5. Can students currently pursuing a degree apply?

Yes. The required qualification states “Pursuing or recently completed” a Bachelor's or Master's degree in a relevant field.

6. What programming language is required?

Python proficiency is specifically mentioned as a required qualification.

7. What areas does this role focus on?

The role focuses on MLOps, machine learning model deployment and lifecycle management, CI/CD automation, monitoring, observability, and Generative AI solutions.

8. Which Generative AI skills are preferred?

The listing mentions exposure to LLMs, Prompt Engineering, and Generative AI workflows as preferred skills.

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