Machine Learning Operations (MLOps) Engineer - North Point Defense

North Point Defense (NPD) is seeking an experienced Machine Learning Operations (MLOps) Engineer to join its team in Rome, NY.

Responsibilites may include:

Deploy, manage, and optimize ML models to support AI/ML projects
Design and implement automated ML pipelines for training, evaluation, and deployment.

Requirements

Education/Experience Requirements:

Bachelor's or Master's degree in Computer Science, engineering, or related field
Minimum of 3 years’ experience in MLOps, AI/ML, data engineering, or similar role
In-depth knowledge of MLOps frameworks, tools, and technologies such as ONNX, TensorRT, TensorFlowLite
Familiarity with ML models and algorithms and research frameworks including TensorFlow and PyTorch
Proficiency in languages such as Python
Knowledge of container runtime environments such as Docker

Other Requirements:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Current TS/SCI a strong plus.

This position will be required to be on-site with some regularity.

Benefits

Casual team-oriented work environment.

Flexible work schedule.

Competitive salary, with special considerations for cleared individuals.

Pay for every hour you are authorized to work.

Individual Benefit Account (IBA) with an employer contribution equal to 15% of an employee’s annual salary. IBA funds can be used toward:

Health Insurance

Dental/Vision Insurance

Health Savings Account – Employee Contributions

Paid Time Off - up to 34 days of PTO per year plus 6 paid holidays

Group Term Life Insurance

Accidental Death Insurance

Generous 401(k) program

Company paid short-term disability insurance

Company paid long-term disability insurance

North Point Defense, Inc. is an equal opportunity and affirmative action employer that does not discriminate in employment.

All qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.