Machine Learning Ops

Job Description

Job Description

Role Overview

General Genomics is seeking a Senior Machine Learning Engineer / MLOps Pod Lead to lead a pod of 5–7 engineers and data scientists in the design, deployment, and operation of scalable, production-grade machine learning pipelines.

In this role, you will deliver mission-critical AI / ML solutions integrated with enterprise data lakes and warehouses, supporting federal bioscience and defense clients. You will be responsible for technical leadership, delivery excellence, compliance, and ethical AI implementation.

This is an onsite position in Fort Worth, TX.

Key Responsibilities

Architect and deploy scalable ML solutions processing 1TB+ datasets, integrated with enterprise Data Lakes and Data Warehouses

Lead, mentor, and develop a pod of 5–7 ML engineers and data scientists, driving best practices and model performance improvements

Design and maintain MLOps pipelines with 99.9% uptime, ensuring compliance with federal standards (e.g., NIST AI Risk Management Framework)

Implement and enforce AI ethics and bias mitigation protocols across all deployed models

Collaborate with stakeholders on data privacy, security, and governance for sensitive bioscience and defense datasets

Required Qualifications

U.S. Citizen with an active DoD, IC, or DHS clearance, or ability to obtain and maintain one

Bachelors degree in Data Science, Computer Science, or a related field, or 8+ years of equivalent professional experience

5+ years of machine learning engineering experience with production deployments

Strong Python proficiency

Hands-on experience with TensorFlow and PyTorch in production environments

Experience with MCP (Model Context Protocol)

Expertise in Data Lake and Data Warehouse architectures (e.g., Snowflake, Databricks)

Strong ETL development and data modeling experience for large-scale datasets

Preferred Qualifications

Prior experience deploying ML solutions in federal environments (DoD, DHS, IC, etc.)

Proven experience leading cross-functional AI / ML teams of five or more

Familiarity with AI ethics frameworks, including NIST AI RMF

Relevant certifications such as :

AWS Certified Machine Learning – Specialty

TensorFlow Developer Certificate

Benefits

Competitive salary

Comprehensive health benefits

401(k) with company matching

Clearance sponsorship for eligible candidates

Access to AI ethics, MLOps, and advanced ML certification programs