ML OPS Engineer

Here is a Job opportunity for you in IRIS Software-

At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industrys 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, Gurugram, Pune)

Senior ML Ops Engineer

Position

Key Responsibilities-

4+ years of experience

• Architect and manage scalable ML infrastructure for model training, deployment, and monitoring.

• Design and automate end-to-end ML pipelines (data ingestion training validation deployment monitoring).

• Implement CI/CD and CT (Continuous Training) frameworks for ML lifecycle automation.

• Ensure reproducibility, versioning, and traceability of models and datasets (using tools like MLflow, DVC, or Kubeflow).

• Integrate monitoring for model drift, data quality, and model performance in production.

• Collaborate with data scientists, data engineers, and DevOps teams to standardize ML workflows. • Optimize cost and scalability across multi-cloud or hybrid environments (AWS, GCP, Azure).

• Maintain and document best practices for ML system governance, auditability, and compliance.

• Mentor junior engineers and contribute to technical roadmap discussions.

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- 1 month Max

Kanika Singh

Ranked 35th among 1400 companies to become one of India’s Best Companies to Work For 2023