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Junior Ai Machine Learning Python Jobs in Washington, DC

i3

AI/Machine Learning Engineer SME

Washington, DC · Hybrid

$200K - $350K/yr

Overview Integration Innovation, Inc. (i3) is seeking a motivated SME level AI/Machine Learning ... Deep proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). * Experience ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ...

campus4tech

AI Architect

Fairfax, VA · On-site

$62.50 - $82.50/hr

Machine Learning & Deep Learning * NLP & Generative AI * Some exposure to Computer Vision * Data ... Mentor junior AI/ML engineers * Strong written and verbal skills for architecture documents ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The Machine Learning Developer will collaborate with software engineers to create innovative ML/AI ... Strong programming skills in Python, R, C#, Java or similar languages. * Experience with deep ...

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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 May 30, 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 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 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 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 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:
What job categories do people searching Junior Ai Machine Learning Python jobs in Washington, DC look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Washington, DC are:
Junior Ai Machine Learning Python jobs near you

AI/Machine Learning Engineer SME

i3

Washington, DC • Hybrid

$200K - $350K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago

Job description

Overview

Integration Innovation, Inc. (i3) is seeking a motivated SME level AI/Machine Learning Engineer to support the Defense Intelligence Agency (DIA) Enterprise Data Management & Analytics (EDMA) effort. As part of this dynamic program, you will architect enterprise-ready AI/ML solutions and serve as primary technical interface with government stakeholders.

This role is ideal for experienced engineers who can champion responsible-AI and governance principles, ensuring approaches align with IC and DoD directives.

The AI Team is distributed across multiple projects and could have potential for some hybrid work.

Pay Range $200,000 - $350,000

The pay range for this position 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 job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws

Responsibilities
  • Architect enterpriseready AI/ML solutions, including modeltraining pipelines, inference services, feature stores, dataingestion pathways, and MLOps frameworks aligned to requirements.
  • Define the technical roadmap, breaking down complex mission needs into actionable architectures, workstreams, and implementation plans.
  • Lead multidisciplinary engineering teams, providing direction on algorithms, model selection, data strategy, integration, and delivery cadence.
  • Oversee sprint planning and technical execution, ensuring deliverables are on time, blockers are removed, and engineering artifacts meet enterprise standards.
  • Serve as primary technical interface with government stakeholders, articulating architecture decisions, model behaviors, risk tradeoffs, and recommended solution pathways.
  • Establish and enforce best practices across ML engineering, DevSecOps, coding standards, test automation, and model lifecycle governance.
  • Conduct technical reviews and mentor engineers, elevating team capability and ensuring alignment with mission outcomes.
  • Guide evaluation and adoption of advanced ML tools, including deeplearning frameworks (PyTorch, TensorFlow, JAX), distributed compute, MLOps platforms, generativeAI modernization patterns, and enterprise scale data solutions.
  • Lead integration of AI capabilities into cloudnative or hybrid architectures, ensuring compliance with security, accreditation, and enterprisedatamanagement requirements.
  • Provide SMElevel support for strategic planning, including solution briefs, architecture diagrams, CONOPS development, and decisionready artifacts for government review panels.
  • Champion responsibleAI and governance principles, ensuring approaches align with IC and DoD directives.
Qualifications
  • U.S. Citizenship.
  • Active Secret clearance w/ the ability to obtain and maintain a TS/SCI security clearance.
  • Bachelor's degree (Master's preferred) in Computer Science, Engineering, Applied Mathematics, Data Science, or related field.
  • Minimum 14 years of progressive experience in AI/ML, data engineering, or advanced analytics.
  • Demonstrated experience architecting and deploying enterprise AI/ML systems.
  • Deep proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX).
  • Experience leading technical teams, performing architecture trade studies, and guiding full ML lifecycle development.
  • Strong understanding of secure software engineering, distributed systems, DevSecOps, and containerization.
  • Excellent communication skills and ability to interface with senior government stakeholders.

Preferred Qualifications

  • Experience supporting AI/ML projects in government, defense, or intelligence environments.
  • Familiarity with Intelligence Community mission needs and data types.
  • Exposure to cloudnative development (AWS, Azure, GovCloud).
  • Experience building or supporting NLP, computervision, generativeAI, or anomalydetection models.
  • Knowledge of MLOps, CI/CD, container orchestration, or distributed training frameworks.
About i3

i3 is a technically diverse, 100% team member owned business, headquartered in Huntsville, Alabama specializing in missile and aviation systems engineering and logistic services, electronic warfare and electromagnetic effects analysis, UAS system integration and flight operations, full lifecycle C5ISR engineering services, cybersecurity and IT/IA innovative solutions and virtual training, simulation & serious game development and implementation. We have established a broad offering of products and capabilities collectively providing decades of experience supporting the full complement of DoD military services, Missile Defense Agency, National Aeronautics and Space Administration, and a variety of other Government organizations and private industry customers.

Perks of being a team member owner include:

  • Long-term financial security
  • Higher job satisfaction
  • Greater job security
  • Personal and professional growth
  • Great company culture

Other outstanding benefits:

  • Excellent insurance coverage
  • 401(k) match
  • Generous PTO
  • Health and wellness incentives
  • Tuition and certification reimbursement
  • Countless opportunities to give back to the community through i3 Cares

We work hard. We compete hard. We play hard. Apply now to join us!

Employment Type: FULL_TIME

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