Ignite Digital is seeking a highly skilled AI/ML Engineer to support a mission-critical U.S. Navy program in the Norfolk, VA area. This individual will design, develop, test, and deploy machine learning models and AI-enabled solutions that directly support operational needs across Navy mission domains. The role requires hands-on machine learning expertise, strong analytical capabilities, and the ability to collaborate across engineering, product, and mission-focused teams.
Key Responsibilities:- Design, develop, test, and deploy machine learning and AI-driven models to support Navy operational and analytical missions.
- Work with large, complex datasets to build scalable ML pipelines and production-ready solutions.
- Implement ML algorithms and techniques including regression, classification, clustering, and deep learning.
- Conduct data cleaning, analysis, and feature engineering to prepare datasets for training and evaluation.
- Evaluate model performance using appropriate metrics, and iterate to improve accuracy, stability, and efficiency.
- Deploy, monitor, and optimize ML models in production environments.
- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to translate mission requirements into technical specifications.
- Stay current with advancements in AI/ML research, tools, and best practices.
- Document models, pipelines, codebases, and processes to ensure maintainability and knowledge continuity.
- Contribute to the development of ML engineering best practices and reusable frameworks.
Required Skills & Experience:- Minimum 3 years of hands-on experience developing and deploying machine learning models.
- Expertise in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch.
- Experience with data analysis and visualization tools such as Pandas, NumPy, Matplotlib, and Seaborn.
- Experience working with cloud platforms (AWS, Azure, or GCP) for ML development and deployment.
- Strong understanding of statistics, ML algorithms, and model evaluation techniques.
- Demonstrated ability to solve complex analytical problems and convey technical concepts clearly.
- Strong communication and collaboration skills supporting cross-functional and mission-oriented teams.
Education & Certifications:- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related technical field.
- Additional certifications in cloud, ML engineering, or data science are preferred but not required.
Security Clearance:- Active DoW SECRET clearance required.
Salary: $120k+ to align with education and experience.
