Machine Learning Engineer

About the Team Here at BTI360, we've built a culture that's passionate about developing software engineers. Software doesn't build itself. People do. In fact, teams of people do. That's why our primary focus is on developing better craftsmen, better teammates, and better technical leaders. By putting people first, we're not just giving our teammates more opportunities to grow, we're also raising the bar of the software we ship. BTI360 previously has been voted 10 years in a row as a TOP Place to Work by the Washington Business Journal. About the Role Are you a Machine Learning guru who enjoys building ML models? Do you have a passion for leveraging machine learning to solve users' tough problems? Do you do a fist pump when a newly trained model outperforms humans? If you said yes, Yes, YES, then we may have a home for you. Our ML teams are focused on building, deploying, and scaling ML models. We're looking for an ML Engineer with experience creating supervised and self-supervised ML models. Specific experience in reinforcement learning is desired. You will work with our team to build and tune custom ML models to solve mission challenges. In this role, you will: Be a part of an exciting program that serves the core operational mission of our Sponsor. This mid-sized, high-visibility program is defining new ways to optimize operational assets. Along with our team, be truly transforming the way our Sponsor does business and we need your help Our program's high-performance development teams leverage modern technologies and practices including Lean Agile, Clean Code, and DevOps. Support the team to build, evaluate, and deliver new ML capabilities. Be comfortable working in teams. Demonstrate a strong desire to continue learning, make an impact, and play a crucial role in expanding our AI/ML expertise. You might thrive in this role if you: Possess an active TS/SCI clearance with polygraph Bachelor's degree in computer science, Computer Engineering, or equivalent experience 3 years of Software Engineering experience Proficient in: Python Familiar with ML model packaging, hosting, and deploying Familiar with AWS ecosystem of services (i.e., S3, RDS, DynamoDB, Lambda, Sagemaker) Familiar with CI/CD automation tools such as Jenkins, GitOps, CodePipeline You will excel in this role if you also have these skills: Familiar with OpenAI's gymnasium framework for reinforcement learning Familiar with ML model evaluating AWS Cloud Certified (Cloud Practitioner, Solutions Architect) Familiar with LLMs like: Llama2, Amazon Titan, Claude 2, Hugging Face, or similar Familiar with Kubernetes or other container orchestration tools Experience using the latest Generative AI Technologies Experience working with Large Language Models (LLMs) - prompt engineering, prompt chaining, retrieval-augmented generation (RAG), hallucination mitigation BTI360 benefits for full-time teammates Fully paid healthcare premiums Competitive salaries and performance bonuses Career development and in-house training Continuing Education: $5,250.00 annually towards education Up to 5 weeks PTO plus 2 weeks of federal holidays 401K dollar for dollar matching up to 6% annually - vested immediately on day 1 Giving Back: Serving communities locally and across the globe Social Events (happy hours, golf tournament, BTI360 Family Festival and more) Commitment to Diversity At BTI360, we believe that unlocking the potential of others is not just a mission-it's the heart of our culture. We are committed to fostering an inclusive environment where every individual can grow each day, lead with humility, and do the right thing. Our core values guide us in developing software that makes a difference, primarily serving national security customers in the Washington, DC metropolitan area. We are an Equal Opportunity Employer. We do not discriminate against any employee or applicant based on race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristics. We celebrate diversity and are dedicated to creating an environment of mutual respect and inclusion where everyone can bring their true selves to work. Join us in a workplace where your contributions are valued, your growth is encouraged, and your potential is unlocked. Together, we develop great software fast and deliver exceptional solutions for our customers.