Apprentice Machine Learning Testing Jobs in Virginia

Machine Learning Engineer Location: Chantilly, VA Clearance: Active TS/SCI w/Polygraph The Opportunity Stillwater is searching for a Software Developer with expertise in artificial intelligence to join its dynamic team. This position centers on developing and implementing AI solutions to strengthen enterprise-level IT operations. The Machine Learning Engineer will collaborate closely with cross-functional teams to design, develop, and deploy AI-driven applications that enhance efficiency, automate processes, and deliver valuable insights. Responsibilities * Develop and maintain machine learning pipelines and applications using Python and contemporary machine learning frameworks. * Implement and optimize algorithms for integrating and deploying large language models (LLMs). * Build RESTful APIs and microservices to serve machine learning models in production environments. * Write clean, maintainable, and well-documented code, adhering to object-oriented programming principles. * Collaborate with cross-functional teams to understand requirements and convert them into technical solutions. * Manage training data, model artifacts, and application state using SQL, NoSQL, and vector databases. * Containerize machine learning applications with Docker to ensure consistent deployment across environments. * Use Git for version control and participate in code reviews to maintain code quality. * Conduct testing and debugging of machine learning applications to ensure reliability and accuracy. * Support the deployment and monitoring of AI and machine learning models in cloud environments. * Stay up to date with emerging trends in machine learning, LLMs, and AI engineering best practices. Qualifications Required * Active TS/SCI clearance with Poly. * Bachelor's degree in computer science, software engineering, data science, or a related technical field, plus five years of professional experience in software development or machine learning engineering. * Strong proficiency in Python programming, with a thorough understanding of object-oriented programming concepts, design patterns, data structures, and algorithms. * Experience with development tools and practices, including Git version control, Docker containerization, and database management (SQL and/or NoSQL). * Knowledge of large language model technologies, including familiarity with orchestration frameworks such as LangChain and LangGraph. * Understanding of retrieval-augmented generation (RAG) architectures and vector databases (including ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems. * Strong problem-solving skills, attention to detail, excellent communication abilities, and eagerness to learn within a collaborative team environment. Desired * Master's degree in computer science or a related field. * Experience with cloud platforms such as AWS, Azure, or Google Cloud, and knowledge of MLOps practices for machine learning model deployment and monitoring. * Experience with container orchestration and DevOps, including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible. * Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk. * Contributions to open-source machine learning projects and familiarity with Agile development methodologies. Salary Range: $179,000 - $236,200 The above salary range represents a general guideline. Stillwater considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions. Depending on the position, employees may be eligible for overtime and/or discretionary bonuses in addition to base pay. Stillwater is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other protected class. If you need assistance with the application process due to a disability, please contact us at 571-525 2482