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.
BTI360 is a data discovery company, using AI/ML to transform proprietary data into actionable insights that directly support our customer's mission. We are seeking a Senior Machine Learning Engineer with the expertise, creativity, and leadership to drive innovative solutions that apply advanced AI techniques to solve complex problems. This is an opportunity to make a tangible impact by leveraging cutting-edge technology, data, and a deep understanding of mission-driven challenges.
In this role, you will:
- Work closely with teammates and stakeholders in a Lean Agile environment to build mission-critical applications focused on data discovery and analysis
- Participate in code reviews, system design discussions, and continuous improvement initiatives
- Leverage modern build tools, testing frameworks, and CI/CD pipelines to ensure quality and delivery speed
- Build and deploy machine learning models using containerization and cloud services
- Design and maintain data pipelines and model-serving infrastructure
- Monitor model performance and ensure reliability in production environments
- Collaborate with cross-functional teams to deliver end-to-end ML solutions
You may thrive in this role if you have the following skills:
- Active TS/SCI and willing to obtain a polygraph
- Experience with source control (e.g. Git) and CI/CD pipeline tools such as AWS CodeBuild (preferred), Jenkins, GitLab CI, or GitHub Actions
- Strong Python development skills with experience in ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience deploying models with tools like Docker, Kubernetes, and cloud ML services
- Ability to manage structured and unstructured data using SQL and scripting tools
- Effective written and verbal communication skills necessary to perform job duties and collaborate with team members
You may excel in this role if you have the following skills:
- Familiarity with monitoring and observability stacks such as Prometheus/Grafana (preferred), CloudWatch, or ELK/EFK
- Experience designing and implementing scalable, maintainable, and OOP based software in a containerized cloud environment (AWS preferred) leveraging foundational services for computing, identity management, and networking.
- Contributions to open-source libraries or community projects or personal projects
- Hands-on experience with MLOps tools such as MLflow, SageMaker, or Kubeflow
- Experience integrating models into software applications via APIs
- Understanding of model governance, versioning, and interpretability practices
BTI360 benefits for full-time teammates
- Fully paid healthcare premiums
- Competitive salaries and performance bonuses
- Career development and in-house training
- Up to 5 weeks PTO plus 2 weeks of federal holidays
- 401k match
- Social Events (happy hours, golf tournament, BTI360 Family Festival and more)
