ML & MLOps Engineer Real-Time Scoring & Pipelines

Posted yesterday

hcltechSan Antonio (TX)

Computer Systems Engineers/Architects Computer Systems Design Services

SENIORITY

Senior

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About the role

HCLTech is seeking a highly talented Machine Learning Implementation Engineer / MLOps Engineer to join our team in advancing the technological world through innovation and creativity. This is a full-time onsite role in the United States. You will support end-to-end ML model deployment, design pipelines with Python and SQL, set up Open Shift and Docker, and collaborate with data scientists, data engineers, model owners, platform teams, governance teams, and business stakeholders to deliver

Before you apply

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Your profile is current

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Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.