Senior ML Engineer - MLOps Lead (Hybrid, Indy)

Xe7 Limited; North Carolina; Hybrid; USD 180,000 - 230,000; Full time

Job summary

Xenon7 is seeking a Senior Machine Learning Engineer to lead production ML systems across life sciences and manufacturing domains. The role focuses on production MLOps, model deployment, and scalable architecture, with collaboration among chemical engineers, biologists, and software architects.

Hybrid onsite 3 days/week in Indianapolis. You will design end-to-end ML infrastructure, implement drift detection and monitoring, and drive CI/CD practices across the ML lifecycle in a regulated

Qualifications

• 10–20+ years of software engineering, MLOps, and production ML deployment experience.

Responsibilities

• Design, deploy, and maintain production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring.
• Operationalize production ML models into OT, API manufacturing workflows, and chemical process control systems.
• Build low-latency, high-throughput microservices for model deployment in live production apps; containerize with Kubernetes and Docker.

Skills

Python

C++

PyTorch

TensorFlow

Scikit-learn

Education

Academic background in Chemical Engineering/Bio-process Engineering/Computer Science

AWS Certified Machine Learning – Specialty

Databricks Certified Machine Learning Professional

Tools

Triton Inference Server

TorchServe

MLflow

Kubeflow

Databricks ML runtime

Job description

Xenon7 is seeking a Senior Machine Learning Engineer to lead production ML systems across life sciences and manufacturing domains. The role focuses on production MLOps, model deployment, and scalable architecture, with collaboration among chemical engineers, biologists, and software architects.

Hybrid onsite 3 days/week in Indianapolis. You will design end-to-end ML infrastructure, implement drift detection and monitoring, and drive CI/CD practices across the ML lifecycle in a regulated