Machine Learning Engineer

Role -ML OPS

Here is a Job opportunity for you in IRIS-

At Iris Software, our vision is to be our clients 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.

https://www.linkedin.com/company/iris-software-inc./

Working at Iris: Be valued, be inspired, be your best.

At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.

Being Your Best

About the Role: Senior Engineer (ML- Ops)

Location: Hybrid (Noida, Delhi, Pune)

Senior ML Ops Engineer

Key Responsibilities:

6+ years of experience

Key Responsibilities:

Add On-

• 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.

kanika.singh@irissoftware.com

Notice period- Immediate to 1 month max