Position Details
About this role
Leidos is seeking a Senior MLOps Engineer to develop, deploy, and monitor AI systems across various domains, ensuring security, reliability, and scalability.
Key Responsibilities
- Design and maintain MLOps pipelines
- Deploy AI models securely
- Monitor AI system performance
- Develop cloud infrastructure
- Collaborate with research teams
Technical Overview
The role involves working with Machine Learning models, cloud infrastructure, CI/CD pipelines, and AI observability tools, with a focus on automation and operational excellence.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with extensive experience in deploying and maintaining AI systems in cloud environments, proficient in ML Ops, DevOps, and Python, with a strong understanding of model monitoring and observability.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud infrastructure, No background in ML Ops or DevOps, No Python programming skills, No Bachelor's degree
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