Machine Learning Operations (MLOps) Engineer

North Point Defense (NPD) is seeking an experienced Machine Learning Operations (MLOps) Engineer to join its team in Rome, NY. Responsibilities: Deploy, manage, and optimize ML models to support AI/ML projects. Design and implement automated ML pipelines for training, evaluation, and deployment. 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. 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): 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. J-18808-Ljbffr

Location: provincia-di-roma, IT

Posted Date: 11/25/2024