ZipRecruiter

Log In

1

Junior Ai Machine Learning Python Jobs in Aldie, VA

NiyamIT

AI Machine Learning Engineer

Ashburn, VA · On-site

Design, develop, train, and validate advanced AI and machine learning models to support mission-critical use cases for a federal client, ensuring alignment with operational objectives and data ...

Niyam IT, Inc.

AI Machine Learning Engineer

Ashburn, VA · On-site +1

Design, develop, train, and validate advanced AI and machine learning models to support mission-critical use cases for a federal client, ensuring alignment with operational objectives and data ...

UNISSANT

Machine Learning Engineer

Ashburn, VA

Demonstrated experience developing and deploying AI/ML models in a production environment. * Proficiency in Python, R, Java, or similar programming languages used for machine learning and analytics ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$110 - $170/hr

Demonstrated experience developing and deploying AI/ML models in a production environment. * Proficiency in Python, R, Java, or similar programming languages used for machine learning and analytics ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

$112K - $177K/yr

Demonstrated experience developing and deploying AI/ML models in a production environment.Proficiency in Python, R, Java, or similar programming languages used for machine learning and analytics ...

next page

Showing results 1-20

All JobsAi Machine Learning Python JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Aldie, VA

Junior Ai Machine Learning Python information

See Aldie, VA salary details

$45.9K

$93.3K

$140.2K

How much do junior ai machine learning python jobs pay per year?

As of Aug 8, 2026, the average yearly pay for junior ai machine learning python in Aldie, VA is $93,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,100.00 and $94,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Aldie, VA? For Junior Ai Machine Learning Python jobs in Aldie, VA, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Aldie, VA look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Aldie, VA are:
What cities near Aldie, VA are hiring for Junior Ai Machine Learning Python jobs? Cities near Aldie, VA with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Aldie, VA as of June 2026, with employment types broken down into 77% Full Time, 11% Part Time, 3% Temporary, 6% Contract, and 3% Nights. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $93,342 per year, or $44.9 per hour.

AI / Machine Learning Engineer

CyberMedia Technologies

Mclean, VA

$115K - $139K/yr

Full-time

Re-posted 10 days ago

Job description

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day.

The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community.

We are seeking to hire a AI/Machine Learning Engineer to our team!

Role Overview:
As an AI/ML Engineer for CTEC, you will develop Agentic AI systems designed to automate and optimize health benefits determinations for the Office of Personnel Management (OPM). Unlike traditional "black-box" models, your work will focus on marrying the reasoning capabilities of Large Language Models (LLMs) with deterministic, rule-driven patterns to ensure accuracy, auditability, and compliance in complex decision-making workflows.

Duties and Responsibilities:

  • Agentic System Architecture: Design and deploy autonomous AI agents capable of multi-step reasoning, tool-use, and self-correction to navigate complex federal benefit policies.
  • Deterministic Logic Integration: Develop "Guardrail" layers that synchronize probabilistic LLM outputs with rigid business rules, ensuring benefit determinations adhere strictly to legal and regulatory frameworks.
  • RAG & Knowledge Engineering: Implement advanced Retrieval-Augmented Generation (RAG) solutions, utilizing layout-aware parsing to extract information from dense manuals/documentation and unstructured data.
  • Hybrid Model Development: Design and evaluate machine learning models that support both data-driven predictions and symbolic/rule-based automation.
  • MLOps & Agent Monitoring: Deploy models into cloud environments with a focus on LLM-specific observability (tracing reasoning loops, monitoring for hallucinations, and detecting data drift in logic).
  • Auditability & Explainability: Ensure every AI-driven determination has a clear, human-readable "audit trail" or reasoning chain that justifies the outcome based on source documentation.
  • Collaboration: Work alongside solution architects and business stakeholders to translate complex health insurance policies into executable AI logic.

Skills & Work Experience:

  • Professional Experience: 5+ years in Machine Learning or Data Science, with at least 2 years of hands-on experience with LLM orchestration and Generative AI frameworks.
  • Agentic Frameworks: Proficiency with tools such as LangChain, LangGraph, CrewAI, or Semantic Kernel for building multi-step agent workflows.
  • Core Development: Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or Scikit-learn)
  • Data Engineering: Strong SQL skills and experience with distributed data processing (Spark/PySpark) to handle large-scale enterprise data.
  • Analytical Rigor: Ability to debug non-deterministic systems and implement rigorous evaluation frameworks (e.g., RAGAS, LLM-as-a-judge) data platforms.

Preferred:

  • Experience with Azure Machine Learning, Azure AI services, or similar cloud AI platforms.
  • Experience implementing Generative AI, LLM, or RAG-based solutions.
  • Experience supporting federal IT modernization or data transformation programs.
  • Familiarity with healthcare, insurance, or benefits administration data environments.
  • Experience applying data governance, privacy, and security best practices in AI/ML solutions.

Education:

Bachelor's degree in Computer Science, Data Science, Engineering, or a related discipline. Master's degree preferred. Equivalent professional experience will be considered in lieu of a degree.

Clearance:
Must be a U.S. citizen and be able to obtain an OPM Public Trust clearance.

If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:

  • Paid vacation & Sick leave

  • Health insurance coverage

  • Career training

  • Performance bonus programs

  • 401K contribution & Employer Match

  • 11 Federal Holidays