Sr. Machine Learning Engineer (Operations AI)

Mindbank

Charleston, SC

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JOB DETAILS

JOB TYPE

Full-time

SKILLS

Algorithms, Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Automation, Best Practices, C++ Programming Language, Cloud Architecture, Cloud Computing, Communication Skills, Computer Programming, Computer Skills, Computer Systems, Consulting, Continuous Deployment/Delivery, Continuous Integration, Data Science, Distributed Computing, Docker, Federal Government, Fortune 1000 Customers, Git, GitHub, Go Programming Language (Golang), Government, Government Organizations, Government Standards, Internet Security, Java, Jenkins, Local Government, Machine Learning, Machining Operations, Mathematical Modeling, Microsoft Windows Azure, Military, Model Validation, Operations Planning, Parallel Computing, Performance Modeling, Performance Tuning/Optimization, Problem Solving Skills, Python Programming/Scripting Language, Safety Compliance, Safety Training, Small Business, Software Architecture Design, Software Engineering, Spatial Data, State Government, Team Player, Technical Writing, United States Department of Defense (DoD), Willing to Travel

LOCATION

Charleston, SC

POSTED

28 days ago

Mindbank Consulting Group has an immediate need for a Sr. Machine Learning Engineer (Operations AI). Sr. Machine Learning Engineer (Operations AI) Responsibilities: Design, develop, and implement machine learning models and algorithms for naval applications. Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments. Perform data preprocessing, feature engineering, model evaluation, and validation. Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements. Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms. Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn. Contribute to distributed computing and parallel processing approaches to optimize ML model performance. Participate in CI/CD pipeline development, automation, and DevSecOps workflows. Apply cybersecurity principles in the design and deployment of machine learning systems. Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards. Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications. Sr. Machine Learning Engineer (Operations AI) Required Qualifications: Must have at a minimum an active Top Secret clearance. Willingness to travel up to 15%. Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer. Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications. Strong programming skills in Python. Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes). Familiarity with software engineering best practices, including Git. Strong programming skills in Java, C++, Go, or Rust. Strong analytical, problem-solving, and communication skills. Ability to work effectively in a collaborative team environment. Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs. Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions. Ability to perform activities on a recurring basis during shipboard operations or testing evolutions. Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE). Candidates should be prepared to complete a coding exercise as part of the interview process. Sr. Machine Learning Engineer (Operations AI) Preferred Qualifications: Experience with distributed computing and parallel processing. Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins). Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud-native architecture and software API design. Experience integrating machine learning into operational DoD systems or edge computing environments. Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments. Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred). Why should you work for Mindbank? Since 1986, Mindbank has helped hundreds of clients solve some of the most complex IT problems through the strategic implementation of solutions and resources. Our clients include US Federal agencies, State & Local Governments, Tribal Organizations, Fortune 1000 companies, as well as Small Businesses. Mindbank believes that our employees deserve the best care that our company can provide. We offer our employees a comprehensive and competitive benefits package including: Medical Insurance Dental Insurance Vision Insurance Life Insurance Long Term Disability Short Term Disability 401 (k) Plan Paid Time Off Training and Education Reimbursement Referral Bonuses As an Equal Opportunity Employer, Mindbank is committed to a diverse workforce and we seek the most qualified candidate for each opening without regard to race, color, religion, age, gender, gender identity, marital status, sexual orientation, national origin, protected veteran status, or disability status.

About the Company

Mindbank

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