Senior AI/ML Solutions Engineer

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

We are seeking a visionary, inventive Artificial Intelligence / Machine Learning (AI/ML) Engineer to design, build, test, and productize advanced models that solve high-stakes challenges. In this role, you won't just train models in isolation—you will transform data science prototypes into production-ready, scalable AI solutions. You will oversee the complete lifecycle: architecting data pipelines, selecting optimal representations, running statistical analyses, and continuously refining models through iterative feedback and retraining loops. As a technical leader and primary subject matter expert, you will guide test and evaluation protocols, evaluate data distribution shifts, and ensure our AI systems deliver accurate, mission-critical predictions at scale.

Requirements

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Demonstrated experience selecting, training, evaluating, and productizing AI/ML models using standard frameworks (e.g., PyTorch, TensorFlow) and ML libraries.
Hands-on experience in pipeline interaction, data modeling, feature selection, model verification/validation, monitoring, and iterative retraining based on feedback loops.
Strong capabilities in statistical analysis, detecting data distribution shifts, and converting raw datasets into effective data representations for ML algorithms.
Proven ability to transform experimental data science prototypes into scalable, performant production systems with proper system integration oversight.
Sound understanding of application development concepts, data structures, software architecture, and running standard test/evaluation protocols.
Excellent analytical, problem-solving, and presentation skills to serve as a primary POC for AI initiatives and guide cross-functional teams.
Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 10 + years of professional software engineering experience OR Master's Degree PLUS 5+ years of professional software engineering experience OR High School Diploma / GED, PLUS 15+ years of hands-on technical software development experience in lieu of a degree.

Nice To Haves

Advanced proficiency in multiple programming languages, such as Python, Java, C, C++, or R.
Deep familiarity with cloud-based AI deployments, automated model scheduling, data governance, and automated CI/CD pipelines for ML models.
Direct experience leading geographically dispersed engineering teams and driving collaborative AI research initiatives.

Responsibilities

Design, build, test, and productize advanced AI/ML models.
Transform data science prototypes into production-ready, scalable AI solutions.
Oversee the complete lifecycle: architecting data pipelines, selecting optimal representations, running statistical analyses, and continuously refining models.
Guide test and evaluation protocols.
Evaluate data distribution shifts.
Ensure AI systems deliver accurate, mission-critical predictions at scale.