ML OPS - Senior Engineer
Skills
About the role
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Posted On: 16 Jul 2026
Location: Noida, UP, India
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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
Key Responsibilities
Lead and oversee multiple AWS-based delivery initiatives in parallel
Act as the primary technical point of contact for client stakeholders
Architect and guide cloud solutions leveraging AWS best practices
Mentor and enable offshore teams, ensuring progress during distributed working hours
Proactively identify risks, dependencies, and bottlenecks; unblock teams effectively
Drive infrastructure automation and platform maturity
Collaborate with AI/ML engineers to support ML infrastructure, pipelines, and deployments
Ensure security, reliability, scalability, and cost-awareness across cloud workloads
Skills & Experience
5+ years of hands-on experience delivering AWS projects, with overall 7 years of experience
Deep understanding of core AWS services (IAM, VPC, ECS/EKS, Lambda, S3, RDS, Sagemaker etc.)
Strong expertise in container technologies (Docker) and container orchestration (Kubernetes/EKS)
Proven experience with Infrastructure as Code (AWS CDK preferred; Terraform acceptable)
Hands-on experience with GitHub Actions and CI/CD workflow automation
Understanding of the AI/ML ecosystem, including model deployment and ML infrastructure patterns
Experience owning client communication, technical discussions, and delivery updates
Ability to support and unblock teams during offshore working hours
Self-driven, proactive, and accountable with a strong ownership mindset
Nice to Have
Experience with MLOps platforms and ML pipelines
Exposure to cloud cost optimization and FinOps practices
Prior people-management or delivery-lead experience
Mandatory Competencies
Data & AI - MLOPS - CI/CD (for ML pipelines)
Data & AI - MLOPS - Python
Data & AI - MLOPS - Model Deployment & Serving
Data & AI - MLOPS - Model Lifecycle Management
Data & AI - MLOPS - Data Pipeline & Feature Management
Data & AI - MLOPS - Monitoring & Observation
Data & AI - MLOPS - Model Registry & Experiment Tracking
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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