Sr Specialist, Artificial Intelligence

L3HHCM20•Palm Bay, FL

About The Position

The IMS Artificial Intelligence team is seeking a highly skilled AI/ML engineer with strong software development experience and experience in artificial intelligence and machine learning. This position is a developer role focused on building, deploying, and operationalizing AI/ML capabilities across the Segment. The ideal candidate will design, implement, optimize, and maintain production-grade AI/ML solutions that directly improve workflows, mission effectiveness, and employee experience. This role is best suited for someone who enjoys coding, experimenting, solving complex problems, and delivering real AI solutions end-to-end. Ability to obtain a US Security clearance is required.

Requirements

Bachelor’s degree in Computer Science, 6+ years of relevant experience, or Master’s degree and 4+ years.
Proven hands-on experience developing and deploying software applications including AI/ML models in production environments.
At least 3 years of programming skills (e.g., Python, C++, Rust, Java) and proficiency with AI/ML libraries and frameworks.
Understanding of data pipelines, distributed training, optimization techniques, and deployment environments (cloud or on-prem).
Strong collaboration and communication skills.

Nice To Haves

Active Secret or higher security clearance.
Experience applying AI/ML in aerospace, defense, ISR, maritime, or mission-critical environments.
Familiarity with generative AI, LLMs, prompt engineering, RAG and Graph architectures.
Hands-on experience integrating AI into enterprise software, workflows, or mission systems.
Experience with MLOps tools such as MLflow, Kubeflow, Airflow, Sagemaker, or similar.
Strong team player, communicator, and result-driven

Responsibilities

Design, build, train, test, and deploy AI/ML models across domains such as computer vision, NLP, task optimization, and data analytics.
Develop production-ready software components, APIs, microservices, and automation tools that integrate AI/ML into enterprise systems and workflows.
Implement and support end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.
Implement data preprocessing, transformation, and quality checks to ensure consistent data flow into AI pipelines.
Conduct model retraining, fine-tuning, versioning, and performance improvement as data and mission needs evolve.
Leverage AI frameworks, toolkits, and cloud/on-prem infrastructure to operationalize models at scale.
Develop and maintain CI/CD + MLOps workflows for automated training, deployment, and monitoring.
Ensure AI solutions meet reliability, performance, and security requirements.