Senior MLOps Engineer, Production ML Systems (Hybrid IN)

Xe7 Limited; Philadelphia (Philadelphia County); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Xenon7 is seeking a Senior Machine Learning Engineer to lead production MLOps, model deployment, and scalable ML systems for a life sciences client in Indianapolis. The role emphasizes architecture, API integration, and cross-domain collaboration with engineers and scientists.

The position requires strong expertise in Python and C++, hands-on ML stack leadership, and a hybrid onsite model (3 days/week) in Indianapolis, IN, with regional travel as needed.

Qualifications

• Senior-level proficiency in software engineering and MLOps for production ML systems.
• Experience deploying ML models in regulated or high-reliability settings is a plus.
• Ability to lead architecture and hands-on implementation of scalable ML pipelines.

Responsibilities

• Design, deploy, and maintain production-grade MLOps pipelines and infrastructure.
• Operationalize ML models into OT, API workflows, and manufacturing processes.
• Build low-latency inference services and scalable microservices.

Skills

Python

C++

PyTorch

TensorFlow

Scikit-learn

MLOps

Kubernetes

Docker

FastAPI

Telemetry & Monitoring

Education

Bachelor's degree in CS/Engineering

Tools

Triton Inference Server

TorchServe

MLflow

Kubeflow

Databricks ML runtime

Job description

Xenon7 is seeking a Senior Machine Learning Engineer to lead production MLOps, model deployment, and scalable ML systems for a life sciences client in Indianapolis. The role emphasizes architecture, API integration, and cross-domain collaboration with engineers and scientists.

The position requires strong expertise in Python and C++, hands-on ML stack leadership, and a hybrid onsite model (3 days/week) in Indianapolis, IN, with regional travel as needed.