AI/ML Engineer

Accountabilities:

• Design, develop, and deploy AI/ML models and end-to-end pipelines aligned with performance and mission objectives

• Build, train, and fine-tune machine learning models using frameworks such as PyTorch, TensorFlow, and related tools

• Develop and maintain MLOps pipelines for training, deployment, and monitoring of models

• Implement and optimize vector databases and retrieval-based architectures (e.g., RAG, hybrid, graph-based systems)

• Write efficient Python code for data processing, feature engineering, embeddings, and inference services

• Experiment with and optimize large language models and task-specific models using modern fine-tuning techniques

• Contribute to the development of agent-based AI applications and intelligent workflows

• Integrate AI solutions into production systems through APIs, event-driven architectures, or user-facing applications

• Collaborate with engineers, analysts, and stakeholders to ensure models are scalable, reliable, and aligned with requirements

• Document models, experiments, and workflows to ensure reproducibility and knowledge sharing

Requirements:

• 6–10+ years of experience developing and deploying AI/ML solutions in production environments

• At least 3 years of experience working within secure or regulated environments (e.g., defense or similar sectors)

• Strong programming skills in Python with hands-on experience in ML development

• Proficiency with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain

• Experience building and managing MLOps pipelines using tools like MLflow, Kubeflow, or similar

• Knowledge of vector databases (e.g., Milvus, Pinecone, FAISS) and retrieval architectures

• Experience fine-tuning and evaluating machine learning or language models using modern techniques (e.g., LoRA, QLoRA, PEFT)

• Proven ability to integrate AI solutions into production-grade systems

• Strong analytical and problem-solving skills with attention to performance and scalability

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field

• U.S. citizenship and willingness to obtain and maintain a security clearance

Nice to have:

• Experience with agent-based frameworks or multi-agent systems

• Knowledge of prompt engineering and retrieval optimization techniques

• Familiarity with GPU-based or edge inference environments

• Active security clearance

Benefits:

• Competitive salary aligned with experience and technical expertise

• Remote work flexibility within the United States

• Comprehensive health, dental, and vision insurance

• Retirement savings plans and financial benefits

• Paid time off and holidays

• Opportunity to work on cutting-edge AI technologies with real-world impact

• Collaborative and innovation-driven engineering culture

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1