SENIOR ML OPS SOFTWARE ENGINEER

Req ID: 45737

Team: T56 BUSN TECH&TRANS

Entity: Newport News Shipbuilding

US Citizenship Required for this Position: Yes

Full-Time

Shift: 1st

Relocation: No relocation assistance available

Virtual/Telework Opportunity: Yes - Occasional or hybrid telework available

Travel Requirement: Yes, 10%-25% of the time

Clearance Required: No - Clearance Not Required to Start

Meet HII’s Newport News Shipbuilding

With more than 25,000 employees – including third-, fourth- and even fifth-generation shipbuilders – HII’s Newport News Shipbuilding (NNS) division is the largest industrial employer in Virginia. We’re the sole designer, builder and refueler of U.S. Navy nuclear aircraft carriers and one of two providers of U.S. Navy nuclear submarines. Our diverse and innovative team of professionals ranges from skilled trades to project managers, engineers and software developers to solution architects, technical subject matter experts, and system users. Anchored in our rich, 135-year history, we collaborate together at the forefront of technology, manufacturing, and integration of the most powerful and survivable naval ships in the world. Want to be part of the team? Apply today! We look forward to meeting you.

The Role

Design, develop, and test operating systems-level software, compilers, and network distribution software. Set operational specifications, and formulate and analyze software requirements. May design embedded systems software.

We are looking for a Senior ML Ops Engineer to join our Data Science team and lead the operationalization of machine learning models at scale. In this role, you will design and implement robust ML Ops frameworks that enable seamless deployment, monitoring, and lifecycle management of machine learning solutions. You will collaborate closely with data scientists and software engineers to ensure models are production-ready, reliable, and continuously optimized.

Key responsibilities include:

• Building and maintaining ML Ops infrastructure for model deployment and monitoring.
• Developing automated workflows for training, testing, and CI/CD of ML models.
• Implementing best practices for reproducibility, scalability, and governance in ML pipelines.
• Managing model versioning, performance tracking, and retraining strategies.
• Driving innovation in ML Ops processes to improve efficiency and reliability.

Must Have

Bachelor's Degree and 9 years of relevant exempt experience;

Master's Degree and 7 years of relevant professional experience;

Ph.D. and 4 years of experience.

One of the following may be used as an equivalent to Bachelor's Degree for Information Technology Related Positions Only:

• NNS Apprentice School graduate
• Navy Nuclear Power School (NNPS) graduate
• Associate's Degree or other formal 2 year program and 2 years of relevant exempt experience or 4 years of relevant non-exempt experience
• Military Paygrade E-5 or above military experience
• High School/GED and 4 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant exempt experience
• High School/GED and 8 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant non-exempt experience
• A relevant professional certification can be substituted for a Bachelor's Degree.

•

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 9 years of experience in software engineering, Master's degree and 7 years of relevant experience. PhD and 4 years of experience.
• Strong proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
• Hands-on experience with ML Ops tools (MLflow, Kubeflow, Airflow) and cloud platforms (AWS, Azure, GCP).
• Expertise in containerization and orchestration (Docker, Kubernetes).
• Experience with CI/CD pipelines and version control systems (Git).
• Solid understanding of monitoring, logging, and alerting for ML systems.

Nice to Have

• Master’s degree in Computer Science, Machine Learning, or related discipline with a focus on backend or systems development.
• Experience in ML Ops, DevOps, or machine learning engineering.
• Experience with feature stores, model registries, and automated retraining workflows.
• Familiarity with distributed systems and large-scale data processing (Spark, Hadoop).
• Knowledge of security, compliance, and governance in ML deployments.
• Contributions to open-source ML Ops or DevOps projects.
• Strong problem-solving skills and ability to work in cross-functional teams.

Why HII

We build the world’s most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. HII’s diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.

Recognized as one of America’s top large company employers, we are a values and ethics driven organization that puts people’s s