ML Engineer

NewGen Technologies

Herndon, VA, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Artificial Intelligence Data Analysis Code Review DevOps Python (Programming Language) Machine Learning NoSQL Software Architecture Software Engineering SQL Databases Data Logging Cloud Platform System

+9 more

Delivery Pipeline Large Language Models Prompt Engineering Generative AI Containerization Api Design Software Coding Software Version Control Microservices

Job description

Design, implement, and maintain cloud-native infrastructure and deployment pipelines using Infrastructure as Code
Lead and architect scalable, secure, and resilient infrastructure solutions across multiple cloud environments
Build and optimize CI/CD pipelines for complex microservices and architectures
Develop and maintain full-stack applications while ensuring operational excellence and reliability
Implement monitoring, logging, and alerting solutions for production systems
Drive security-first infrastructure design and implementation
Mentor team members on DevOps best practices and cloud-native technologies

Requirements

TS/SCI CI Poly Clearance with Customer eligibility and SBU/SecNet/COE accounts
Bachelor’s degree or above in Science, Technology, Engineering, or Mathematics (STEM)
Experienced in professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
3+ years of machine learning/statistical modeling data analysis tools and techniques, * Master’s degree or above in Science, Technology, Engineering, or Mathematics (STEM)
Experience working on multi-team, cross-disciplinary projects
Experience applying quantitative analysis to solve business problems and making data-drive business decisions
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions
Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks