- Design and implement tools and processes to enable MLOps practices in a scalable cloud infrastructure
- Design, build, train, and evaluate Machine Learning models
- Build repeatable Machine Learning pipelines for model training, evaluation, deployment, and monitoring
- Perform R&D to enable AI Observability
- Design, implement, and manage cloud resources for MLOps infrastructure
- Work in a team of AI/ML researchers and engineers using Agile development processes Basic Qualifications
- Bachelor's degree with 8 years of experience or Master's degree with 6 years of experience in Computer Science, Machine Learning, Artificial Intelligence, or related discipline
- Practical, hands on experience with developing machine learning algorithms & models, visualizations, web apps
- Advanced Python programming skills
- Experience with MLOps tools and frameworks, such as Kubeflow, MLflow, DVC, TensorBoard
- Strong communication skills
- Competence in t roubleshooting and mitigating issues with prototyped and deployed AI
- Demonstrated ability to orchestrate a ML pipeline Preferred Qualifications
- Experience deploying and using AI Explainability and Monitoring tools
- Experience deploying, managing, and using Kubernetes and Kubeflow clusters
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Peraton Herndon, United StatesAbout Peraton Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deli ...
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Senior Machine Learning Engineer with Security Clearance - Herndon, United States - Leidos
Description
R Description Looking for the opportunity to work on problems that matter, with colleagues that share your interest and expertise in applied Artificial Intelligence and Machine Learning? Leidos is looking for a Senior Machine Learning Engineer to apply their expertise in Artificial Intelligence, Machine Learning, and MLOps to develop repeatable workflows that build, train, test, deploy, and monitor trustworthy AI capabilities.
The Machine Learning Engineer will create solutions for internal and corporate research and client's operational environments.This role requires a strong foundation in Machine Learning, experience with DevOps/MLOps tools and processes, Python programming experience, and the ability to work in fast-paced, Agile development teams.
To be successful in this role, you should be highly motivated and collaborative, working well independently and within a team of junior and senior engineers & researchers.
You should be effective and documenting your work and comfortable creating and communicating R&D plans, progress, and results. Primary Responsibilities, GitLab, Nexus) - Ability and willingness to obtain a Top Secret security clearance Original Posting Date:
While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above
Pay Range:
Pay Range $101, $183,300.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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