About this opportunity
Phase2 Technology lists this Machine Learning Engineer opportunity in alexandria, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job #: R
Opportunity
As an experienced AI and ML engineer, you will train, test, deploy, and maintain models that learn from data. You will own and define the direction of mission‑critical solutions, collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world‑class AI solutions, and guide clients navigating the landscape of ML algorithms, tools, and frameworks.
You Have
2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models
Experience with Python coding and libraries, including scikit‑learn, TensorFlow, or PyTorch
Experience with developing code using a common programming language, including Python, C++, Rust, or Java
Experience with deep learning, computer vision, or generative AI
Experience with data handling and model development
Experience with leveraging AI productivity tools for coding, such as Cursor
Ability to solve client issues and problems
TS/SCI clearance
Bachelor's degree
Nice If You Have
Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph
Experience with supervised and unsupervised learning
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
Salary range: $77,600.00 to $176,000.00 (annualized USD).
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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Worksite address
alexandria, VA, 22350, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.