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Iris Software Graduate Engineer machine learning OPS Freshers apply . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
About Company
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.
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JOB DESCRIPTION
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.
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.
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.
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