MLOps Engineer

Job Title: MLOps Engineer

Work Timing: US EST Hours

Duration: Contract

Experience: 8+ years

Location: India (Remote)

Machine Learning Operations (MLOps) Engineer

Key Responsibilities:

• Design and deploy

  scalable ML infrastructure

  using cloud and containerization technologies (Azure, Kubernetes, AKS, Docker).
• Collaborate with cross-functional teams to build

  cloud-hosted, automated pipelines

  for running, monitoring, and retraining ML models.
• Implement

  model and pipeline validation procedures

  with Data Scientists, Data Engineers, and ML Engineers.
• Optimize and refactor development code to ensure seamless

  production deployments

  .
• Build and maintain

  data and feature engineering pipelines

  to support ML models.
• Define

  configurations and specifications

  for automated production environments.
• Develop

  CI/CD pipelines

  to enable continuous integration, testing, and deployment of ML models and features.
• Support

  AI/ML applications and MLOps practices

  for production-grade deployments.

Required Skills:

• Strong experience with:

• Azure Cloud

• Azure DevOps (CI/CD pipelines)

• Kubernetes & AKS

• Databricks (Data & ML platform)

• Solid understanding of

  machine learning model deployment

  into production.
• Hands-on experience with

  platform engineering and MLOps practices

  .

Nice-to-Have Skills:

• Experience with

  ML Infrastructure deployments

  .
• Exposure to

  AI applications

  and

  advanced MLOps frameworks.

Thanks & Regards:

Kanika Katiyar

Associate Recruiter

Email:kkatiyar@fcsltd.com

FCS Software Solutions Limited

https://www.fcsltd.com