Senior AI/ML Engineer

• 9+ years of relevant AI/ML engineering, software engineering, or data science experience
• Experience leading the design and delivery of enterprise-scale, production-grade AI/ML systems
• Advanced software engineering experience using Python and commonly used AI/ML frameworks
• Experience architecting automated model training, validation, deployment, and monitoring pipelines
• Experience defining MLOps architecture, standards, and practices across engineering teams
• Experience designing model-serving capabilities for batch and real-time inference
• Experience deploying and operating models in cloud-based or containerized environments
• Strong understanding of model evaluation, monitoring, drift detection, explainability, reproducibility, and governance
• Experience with Docker, Kubernetes, or similar containerization and orchestration technologies
• Experience establishing CI/CD, infrastructure-as-code, automated testing, and source-control practices
• Experience architecting AI/ML solutions within AWS, Azure, or Google Cloud
• Experience with data pipelines, distributed data processing, feature engineering, and data versioning
• Ability to evaluate technical approaches and clearly communicate architecture decisions, risks, and tradeoffs
• Experience leading technical reviews, mentoring engineers, and influencing technical direction
• Ability to troubleshoot complex issues across applications, infrastructure, data, and machine learning systems

• Experience leading AI/ML initiatives within DoW, federal, Advana, or other enterprise data environments
• Experience architecting solutions using AWS SageMaker or comparable cloud AI/ML platforms
• Experience with MLflow, Kubeflow, Airflow, Argo Workflows, Ray, Feast, or similar technologies
• Experience building AI/ML platforms in secure, regulated, classified, or mission-critical environments
• Experience with large language models, generative AI, retrieval-augmented generation, or foundation-model operations
• Experience establishing responsible AI, model-risk-management, or AI-governance practices
• Experience leading AI/ML platform modernization, technology evaluations, or proofs of concept
• Currently holds, or is willing to obtain within 30 days of employment, an approved certification such as CCSP, CFR, FITSP-M, GSEC, Security+, or SSCP

• Flexible PTO + all Federal holidays off
• Health, dental and vision insurance plans

• 401k with employer match
• Company-sponsored life insurance, short- and long-term disability
• Professional development (training, certifications, conferences)
• Paid cloud developer accounts
• Referral bonuses
• HQ office perks (parking / metro reimbursement, nitro coffee & lunches)
• Annual social events (540 Week, hackathon, charity golf tournament, etc.)
• Access to 540’s Washington Capitals & Nationals tickets

540's policy is to provide equal employment opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.