Senior ML Engineer - Production MLOps for Life Sciences

Xe7 Limited; Chicago (IL); Hybrid; USD 140,000 - 210,000; Full time

Job summary

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.

Qualifications

• 10–20+ years in software engineering and production ML.
• Experience deploying production ML systems across regulated domains is a plus.
• Strong Python and C++ programming with deep ML framework knowledge.

Responsibilities

• Design, deploy, and maintain production ML pipelines and APIs.
• Operationalize ML models into OT and API manufacturing workflows.
• Build low‑latency, scalable inference services and monitor performance.

Skills

Python

C++

PyTorch

TensorFlow

Scikit-learn

MLOps

Kubernetes

Docker

FastAPI

Education

Bachelor's or higher in CS/Engineering

Tools

Triton Inference Server

TorchServe

MLflow

Kubeflow

Databricks ML Runtime

Job description

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.