Senior ML Engineer - Production MLOps for Life Sciences

Posted yesterday

xe7Chicago (IL)

SENIORITY

Manager

Apply

About the role

Xenon7 in Indianapolis seeks a Senior Machine Learning Engineer to own production MLOps, model deployment, and scalable ML systems for a life sciences client. You will lead architectural design and hands‑on implementation of production ML pipelines and APIs, collaborating with process engineers and researchers.
Requirements include: 10–20+ years in software engineering and MLOps, expert Python and C++, and deep experience with PyTorch/TensorFlow, Kubernetes, Docker, and cloud platforms.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

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.

More like this