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Tata Consultancy Services Limited

Azure AI/ML Engineer

Entry-Level JobVerifiedNo experience needed

Pay: $90,000–$130,000/yr

Posted: 1 day ago

Location: Bellevue, WA (Onsite)

Last Updated: 6 hours ago

Hours: Full-Time

Expires: 10/5/2026

Career Insights for Machine Learning Engineer

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What they do

A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.

$157,304 / year median in Washington

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Job Description

Must Have Technical/Functional Skills Azure; Core .NET Technologies; Azure ML Roles & Responsibilities An ML Engineer designs, builds, deploys, and maintains end to end machine learning solutions across data ingestion, model training, and production deployment systems. Capable of developing data pipelines and implementing ML models using Python while also having a basic understanding of integrating models into existing application layers (APIs / services). Microsoft SFI knowledge and experience in creating secure ML infrastructure aligned with enterprise security standards. Capable of building and maintaining MLOps / CI CD pipelines for automated model training, validation, and deployment using secure connections and identity based access. Good to have AI engineering skills as team is building custom co pilots and intelligent agents. Generic Managerial Skills, If any Open AI;

DevOps Salary Range:

$90,000 - $130,000 a year #

LI-NS4 TCS

Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage:

Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support:

Maternal & Parental Leaves.

Insurance Options:

Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth:

Commuter Benefits & Certification & Training Reimbursement.

Time Off:

Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance:

Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.