Senior AI/ML Engineer, Applied Machine Learning - (Security Clearance)

Proven experience in developing, optimizing, and deploying ML systems in production environments Strong background in building and managing end-to-end training pipelines for ML models Extensive knowledge and hands-on experience in fine-tuning large language models Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools Proficient in Python with a focus on writing efficient, clean, and maintainable code for ML applications Ability to distill complex ML concepts for both technical and non-technical audiences Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field A track record of delivering and implementing machine learning solutions that have successfully driven value Active Secret or Top Secret Clearance

Architect, build, and optimize ML systems Develop and deploy robust ML models Design and implement efficient, scalable pipelines to train and retrain ML models Continuously fine-tune LLMs for specific enterprise requirements Implement and refine feedback loops to iteratively improve ML model effectiveness Collaborate with product and business teams Stay up-to-date with the latest in ML research and best practices Guide and mentor junior team members Communicate ML methodologies, results, and insights to non-technical stakeholders