Senior Machine Learning Engineer

About This Role

We are seeking a highly skilled and experienced Machine Learning Engineer to join our growing AI & Data Science team in R&D. This role is ideal for someone passionate about solving complex problems using data‑driven approaches and deploying scalable machine learning solutions in production environments. The position focuses on designing scalable NLP systems powered by state‑of‑the‑art transformer models, optimizing inference performance, and integrating LLMs into real‑world products.

You'll collaborate with cross‑functional teams to deliver intelligent, language‑driven solutions that enhance user experience and business outcomes. This on‑site position is available in Tampa, FL;
Arlington, TX; or Orlando, FL.

• Design, develop, and deploy machine learning models for real‑world applications.
• Build scalable data pipelines and model training workflows using modern tools and frameworks.
• Conduct rigorous model evaluation, validation, and performance tuning.
• Monitor and maintain deployed models, ensuring reliability and accuracy over time.
• Design, fine‑tune, and deploy LLMs (LLaMA, Mistral, etc.) for various NLP tasks such as summarization, question answering, semantic search, and chatbots.
• Develop scalable and efficient model serving infrastructure using tools like ONNX, Tensor
  
  RT, Deep Speed, or vLLM.
• Implement retrieval‑augmented generation (RAG) pipelines using vector databases (e.g., FAISS, Weaviate, Pinecone, Milvus).
• Optimize LLM inference for latency, throughput, and cost across cloud and edge environments.
• Collaborate with cross‑functional teams to understand business requirements and translate them into ML solutions.
• Stay current with the latest research and trends in machine learning, AI & LLMs.
• Mentor junior engineers and contribute to team knowledge sharing.
• Document processes, models, and decisions for transparency and reproducibility.

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field. PhD is a plus.
• 5+ years of software development experience, with at least 2 years focused on NLP or LLMs.
• Proficiency in ML frameworks (PyTorch, Tensor Flow, Scikit‑learn, CUDA).
• Strong understanding of distributed systems, microservice architecture and REST APIs.
• Strong understanding of MLOps tools and practices (MLflow, Airflow, DVC).
• Hands‑on experience with Hugging Face Transformers, Lang Chain, and OpenAI APIs.
• Technology proficiency with cloud platforms (AWS, GCP, Azure), Linux, and container orchestration (Docker, Kubernetes).
• Proven track record of deploying ML models in production environments.
• Experience in working with SQL/No
  
  SQL database systems such as MySQL, Mongo
  
  DB or Elasticsearch.
• Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.

• Experience with deep learning, NLP, computer vision, or reinforcement learning.
• Experience with feature engineering and model interpretability techniques.
• Knowledge of prompt engineering and prompt optimization strategies.
• Experience with multi‑modal models (e.g., combining text with image or audio inputs).
• Familiarity with distributed training and model parallelism.
• Experience with fine‑tuning LLMs using LoRA, QLoRA, or PEFT techniques is a plus.
• Familiarity with CI/CD pipelines and version control (Git).
• Ability to work in a fast‑paced, agile development environment.

Must comply with all company security and data protection / usage policies and procedures. Personally responsible for proper marking and handling of all information and materials, in any form. Shall not divulge any information, or afford access, to other employees not having a need‑to‑know. Shall not divulge information outside company without management approval. All government and proprietary information will be accessed and stored electronically on company provided resources.

• Incumbent must be eligible for DoD Personal Security Clearance.

• Duties performed in an office environment and manufacturing facility.
• Must be able to work overtime on and off‑shifts as required.
• May be required…