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: * Lead the design and development of AI/ML solutions to extract insights from complex unstructured and semi-structured data sets. * Prototype and evaluate AI-driven capabilities to assess technical feasibility for deployment in production environments. * Apply data correlation techniques to analyze streams of data discussing similar topics, identifying contradictions, and developing systems that make sense of the reality behind conflicting information. * Work on automating reporting workflows that provide mission stakeholders with greater awareness of underlying data holdings and turn them into actionable mission capabilities. * Observe and analyze customer behaviors and workflows to understand their mission objectives, identifying opportunities where AI/ML can improve efficiency, quality, or mission outcomes. * Collaborate with a multidisciplinary team of data scientists, engineers, and mission experts to align technology solutions with customer objectives. You might thrive in this role if you have the following skills: * Active TS/SCI with Polygraph * Bachelors degree and 7+ years experience building, deploying, and maintaining ML models; or 5+ years with an advanced degree (MS or PhD) in Machine Learning, Artificial Intelligence, Data Science, or a related field. * Experience in leading AI/ML initiatives, including designing AI-driven capabilities that scale to production environments. * Demonstrated commitment to continuous learning and staying up to date on AI/ML advancements through research, whitepapers, courses, and experimentation. * Have proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or equivalent. * Have familiarity with natural language processing (NLP), deep learning techniques, and large language models (LLMs). * Have experience with AI/ML techniques like prompt engineering, retrieval-augmented generation (RAG), and mitigating hallucination in models. * Have ability to rapidly prototype and evaluate solutions to meet customer needs in different contexts and domains. You may excel in this role if you have also these skills: * Experience working in cloud environments (AWS, Google Cloud, or Azure). * Familiarity with MLOps, including the deployment, monitoring, and scaling of ML models in production. * Experience with writing technical solution proposals for government or enterprise customers. * Experience with technical speaking engagements and communicating complex AI/ML concepts through white papers, presentations, and conferences. * Advanced degree (MS/PhD) in a relevant field (e.g., Machine Learning, Artificial Intelligence, Data Science). * Experience working in an Agile environment. * Familiarity with CI/CD pipelines (e.g., Jenkins, CodePipeline), and version control (Git).