Senior AI/ML Engineer

SEA, Ltd.
Middletown, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Middletown, United States of America

Tech stack

API
Artificial Intelligence
Continuous Integration
Python
Knowledge-Based Systems
Machine Learning
TensorFlow
Sensor Fusion
Signal Processing
SONAR (Symantec)
AI Infrastructure
PyTorch
Large Language Models
Prompt Engineering
Deep Learning
Model Validation
Generative AI
GIT
Containerization
Scikit Learn
Information Technology
Machine Learning Operations
Virtual Agents
Unsupervised Learning

Job description

Job Summary: SEACORP is seeking a Senior AI/ML Engineer for their Platforms Business Area. The AI/ML Engineer will lead AI/MLdevelopment efforts across multiple defense programs, from concept throughdeployment and architect andimplement machine learning solutions for operational and tactical systems., * Design and deploy LLM-powered applications, including Retrieval-Augmented Generation (RAG), tool-using agents, and mission-specific knowledge systems.

  • Develop Agentic AI frameworks for autonomous task execution, planning, reasoning, and workflow orchestration.
  • Build AI pipelines for sensor data exploitation, including:
  • Acoustic signal processing (sonar).
  • Radar signal analysis.
  • Electronic Warfare (EW) signal classification.
  • Multi-modal sensor fusion.
  • Develop predictive, classification, anomaly detection, and data augmentation models.
  • Establish AI engineering standards, MLOps pipelines, and reusable corporate AI infrastructure.
  • Support SEACORP's AI Center Of Excellence (COE). Evaluate emerging AI technologies and recommend adoption strategies.
  • Mentor junior engineers and support SEACORP's internal AI capability growth.

Requirements

Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, Data Science, or related technical discipline.

Experience: 5+ years of professional experience in AI/ML engineering or applied machine learning., * Strong experience with:

  • Python
  • PyTorch and/or TensorFlow
  • Scikit-learn
  • ML model deployment frameworks
  • Experience designing and deploying machine learning systems into production environments.
  • Experience with:
  • Supervised and unsupervised learning
  • Time-series modeling
  • Deep learning architectures
  • Signal processing workflows
  • Experience with cloud or on-prem GPU compute environments.
  • Strong software engineering fundamentals (Git, CI/CD, APIs, containerization).
  • U.S. Citizenship required.

Ideal Skills and Experience:

  • Experience with Large Language Models (LLMs):
  • Fine-tuning.
  • Prompt engineering.
  • Retrieval-Augmented Generation (RAG).
  • Model evaluation.
  • Experience with Agentic AI frameworks, such as:
  • LangChain.
  • LangGraph.
  • LlamaIndex.
  • AutoGen.
  • Experience in defense-related sensor processing:
  • Sonar/acoustic intelligence.
  • Radar signal exploitation.
  • Electronic Warfare systems.
  • Experience with transformer architecture for signal processing.

Benefits & conditions

Successful candidates will enjoy competitive wages and a very rich benefit program, including:

  • Medical Benefits: Choice of two medical insurance programs through Blue Cross & Blue Shield.
  • Dental Benefits: A best in class Dental Insurance Plan through Delta Dental.
  • Vision Benefits: An excellent Vision Benefit providing discounts and allowances for prescription glasses and contact lenses.
  • Retirement Benefits: A qualified 401(k) Retirement Savings Account with a generous employer matching contribution up to 8% of your eligible compensation.
  • Life Insurance Benefits: Employer paid Life and Accidental Death & Dismemberment Insurance equal to your annual salary. Supplemental coverage is available for you and qualified family members as well as Supplemental Short-Term and Long-Term Disability Insurance.
  • Additional Benefits: Ten (10) Paid Holidays per year (including 2 floating Holidays), a generous Paid Time Off (PTO) program; Tuition Reimbursement, and Referral Bonuses.

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