Join Leidos' Chief Data & Analytics Office as Senior AI/ML Engineer

Leidos' Operational AI (Ops.AI) division seeks a Senior AI/ML Engineer to transform cutting-edge models into production-ready solutions powering mission-critical applications. This remote role bridges data science and software engineering, managing the full AI/ML lifecycle in a high-growth organization driving Leidos' technology strategy.

Primary Responsibilities

• Design, train, and deploy diverse AI/ML models ensuring scalability and performance for critical missions.
• Implement automated MLOps pipelines for model monitoring, retraining, and lifecycle management.
• Optimize models in cloud (AWS/Azure/GCP) and on-premise environments for efficiency.
• Partner with data scientists, engineers, and architects to harden prototypes into production systems.
• Enforce best practices: Git version control, rigorous testing, CI/CD pipelines.
• Stay ahead of MLOps trends to elevate team innovation.

Basic Qualifications

• Bachelor's in CS/Engineering or related +8 years, or Master's +6 years experience.
• Expert Python; hands-on TensorFlow/PyTorch/Scikit-learn.
• Proven software engineering: version control, testing, CI/CD.
• End-to-end ML lifecycle mastery.
• US Citizen; eligible for security clearance.

Preferred Qualifications

• MLOps tools: MLflow, Kubeflow, SageMaker.
• Containerization: Docker/Kubernetes.
• IaC: Terraform/CloudFormation.
• Big data: Apache Spark.
• Cloud expertise; AI ethics/NIST/CMMC compliance.
• Open-source ML contributions.

Leidos seeks restless innovators who rethink the status quo. If you're plotting step 20 while others debate step 2, apply now. Pay Range: $107,900-$195,050 USD (varies by experience/location). US Remote/Teleworker. Original posting: Jan 6, 2026. Open at least 3 days.