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MLOps Engineer

TekIT Software Solutions Pvt. Ltd. (India & USA)

5 years

0 Lacs

Greater Kolkata Area

Posted:1 day ago| Platform:

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Skills Required

ml software engineering learning aws sagemaker mlflow design support model development deployment monitoring training versioning research drive tracking data python scala apache spark testing

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title :

ML Ops Engineer.

Experience :

5 Years.

Location :

Remote (India).

Job Overview

We are seeking a highly skilled MLOps Engineer with over 5 years of experience in Software Engineering and Machine Learning Operations.The ideal candidate will have hands-on experience with AWS (particularly SageMaker), MLflow, and other MLOps tools, and a strong understanding of building scalable, secure, and production-ready ML systems.

Key Responsibilities

Design, implement, and maintain scalable MLOps pipelines and infrastructure.
Work with cross-functional teams to support end-to-end ML lifecycle including model development, deployment, monitoring, and governance.
Leverage AWS services, particularly SageMaker, to manage model training and deployment.
Apply best practices for CI/CD, model versioning, reproducibility, and operational monitoring.
Participate in MLOps research and help drive innovation across the team.
Contribute to the design of secure, reliable, and scalable ML solutions in a production environment.

Required Skills

5+ years of experience in Software Engineering and MLOps.
Strong experience with AWS, especially SageMaker.
Experience with MLflow or similar tools for model tracking and lifecycle management.
Familiarity with AWS Data Zone is a strong plus.
Proficiency in Python; experience with R, Scala, or Apache Spark is a plus.
Solid understanding of software engineering principles, version control, and testing practices.
Experience deploying and maintaining models in production environments.

Preferred Attributes

Strong analytical thinking and problem-solving skills.
A proactive mindset with the ability to contribute to MLOps research and process improvements.
Self-motivated and able to work effectively in a remote setting.

(ref:hirist.tech)

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MLOps Engineer