Python AWS

15 hours ago

Noida, Uttar Pradesh, India Iris Software Inc. Full time ₹ 6,00,000 - ₹ 18,00,000 per year

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

  • Strong Python and ML development background
  • Working knowledge of ML frameworks such as scikit-learn
  • 2+ years' experience in building/operating ML Solutions on AWS Sagemaker (Sagemaker SDK for jobs and experiments)
  • Hands-on experience in Docker and Kubernetes
  • Good understanding of AWS services related to Sagemaker (S3, Glue, ECR and ECS etc)
  • Develop Operational Guides, Reference Implementations, Develop new and contribute to existing/new tools

Soft Skills

  • Collaborate with cross team members and cloud teams to build a cohesive MLOps experience on AWS
  • Focus on Quality and ability to adapt to new technologies quickly
  • Excellent communication skills

Nice to have

  • AWS CDK / Cloud formation stack

Mandatory Competencies
Data Science and Machine Learning - Data Science and Machine Learning - Python

Beh - Communication and collaboration

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

Beh - Communication

Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker

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

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

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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