ML OPS
2 days ago
Posted On: 29 Sept 2025
Location: Noida, UP, India
Company: Iris Software
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- 5+ years of experience in ML Ops engineering or a related field.
- Strong proficiency in Python, with experience in machine learning libraries such as TensorFlow, PyTorch, scikit-learn, etc.
- Extensive experience with ML Ops frameworks like Kubeflow, MLflow, TensorFlow Extended (TFX), KubeFlow Pipelines, or similar.
- Strong experience in deploying and managing machine learning models in cloud environments (AWS, GCP, Azure).
- Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins, GitLab, CircleCI, etc.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment.
- Skills : SageMaker, PySpark, AWS Services ; Nice to have: MLOps
Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
Data Science and Machine Learning - Data Science and Machine Learning - Python
Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
Beh - Communication
Development Tools and Management - Development Tools and Management - CI/CD
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.
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