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Junior Ai Machine Learning Python Jobs in Washington, DC

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Junior Ai Machine Learning Python information

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$52.7K

$107.1K

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

As of Aug 20, 2026, the average yearly pay for junior ai machine learning python in Washington, DC is $107,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $108,200.00 per year, depending on experience, location, and employer.

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 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 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 Washington, DC?

For Junior Ai Machine Learning Python jobs in Washington, DC, the most frequently searched job titles are:

Junior AI Software Engineer

Dark Wolf Solutions

Chantilly, VA

$90K - $130K/yr

Full-time, Contractor

Posted 2 days ago

New


Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.
Dark Wolf is seeking a Junior / Entry-Level AI Software Engineer to support the construction, testing, and deployment of artificial intelligence and machine learning pipelines in secure, high-assurance environments. In this role, you will work alongside senior technical leads to maintain data processing workflows, implement foundational software code, and assist in containerizing software components

Key Responsibilities

  • Assist with building and maintaining scalable ML data ingestion pipelines.
  • Support code development and scripting using Python and Bash.
  • Containerize application modules using Docker for deployment.
  • Perform regular unit testing and execute automated security scanning tools to ensure code health and compliance.
  • Participate in daily Agile activities, code reviews, and backlog refinement sessions.

Required Qualifications:

  • Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred).
  • Experience: 0-4+ years of software engineering experience.

Technical Competencies:

  • AI Frameworks: Basic familiarity with PyTorch or TensorFlow.
  • AI Models: Basic understanding of model evaluation techniques and foundational prompt engineering.
  • Machine Learning: Core understanding of supervised/unsupervised learning concepts and feature engineering.
  • Programming & Scripting: Practical competency in Python and fundamental scripting tools.
  • Containerization: Experience building and running basic Docker images.
  • Agile Frameworks: Working knowledge of Agile, Scrum, or Kanban concepts.
  • Multi-Cloud Architecture: Basic familiarity with cloud platforms such as AWS or Azure.
  • Security Scanning Tooling: Hands-on exposure to static code analysis and security scanning tools (e.g., SonarQube).

Desired Qualifications:

  • Experience writing automated unit tests and maintaining code repositories.
  • Cloud or technical entry certifications (e.g., AWS Certified Cloud Practitioner).


Position Clearance Requirement:

US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph


Location:
Chantilly/Herndon, VA.

Target Salary Range: $90,000.00 – $130,000.00 (Commensurate with specialized expertise and technical skillset).


Equal Opportunity Employer:

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.