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Junior Ai Machine Learning Python Jobs (NOW HIRING)

Gyrus AI

AI / Machine Learning Engineer

Santa Clara, CA · On-site

$100 - $125/hr

Object oriented programming skills in one of Scala, Java, Python, C++. * Strong knowledge and ... machine learning pipelines from standardization, normalization, clustering, modeling, scoring ...

1910

AI Research Scientist III

Boston, MA · On-site

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... junior AI Researchers with their work • Periodically presenting recent AI research at internal ...

1910

AI Research Scientist III

Boston, MA · On-site

Responsibilities : • Propose and prototype AI and Machine Learning solutions that address use ... junior AI Researchers with their work • Periodically presenting recent AI research at internal ...

Socket.dev

Junior AI/ML Engineer

Auburn Hills, MI · On-site

$60 - $80/hr

The Junior AI/ML Engineer contributes to the design, build, and delivery of end-to-end AI/ML ... Exposure to machine learning through coursework, internships, or projects * Proficiency in Python ...

New

Stellantis

Junior AI/ML Engineer

Auburn Hills, MI · On-site

The Junior AI/ML Engineer contributes to the design, build, and delivery of end-to-end AI/ML ... Exposure to machine learning through coursework, internships, or projects * Proficiency in Python ...

1910

AI Research Scientist III

Boston, MA · On-site

... mentor junior researchers. Responsibilities : • Propose and prototype AI and Machine Learning ... Python code, with examples available in code repositories • Familiarity with MLOps and DevOps ...

Emonics LLC

Associate AI Engineer

Edison, NJ · On-site

Junior AI Engineer/Associate AI Engineer Role Overview: We are looking for an Associate AI Engineer ... using Python. * Prepare, clean, and analyze datasets for machine-learning solutions. * Build ...

New

AIToolboard

AI / Machine Learning Engineer

Mclean, VA · On-site

$150 - $200/hr

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull ... Strong proficiency in Python and experience with standard frameworks (PyTorch, TensorFlow, or ...

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

As of Sep 9, 2026, the average yearly pay for junior ai machine learning python in the United States is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $95,500.00 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.

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Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.

AI/Machine Learning Engineer

Remote

Initiate Government Solutions, LLC.
IT Services • 11 - 50 employees
Learn more about Initiate Government Solutions, LLC.external

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Initiate Government Solutions (IGS) is a fully remote IT services provider focused on delivering innovative solutions in the federal sector. They are seeking an AI/Machine Learning Engineer to support the development of AI applications in the federal healthcare industry, working collaboratively with a team to accelerate digital transformation through scalable AI solutions.
Responsibilities:
• Design, develop, and deploy machine learning and deep learning models to support clinical decision-making, predictive analytics, and health outcomes research.
• Fine-tune models for high performance using healthcare-specific data, including EHRs, claims, imaging, and structured/unstructured text.
• Collaborate with data engineers to clean, preprocess, and normalize healthcare data in compliance with federal data standards (e.g., HL7, FHIR).
• Build scalable ML pipelines that integrate with federal data platforms and cloud services (e.g., VA’s Lighthouse API, Azure Government, AWS GovCloud).
• Ensure AI/ML solutions meet federal regulations, including HIPAA, FISMA, FedRAMP, and VA Information Security requirements.
• Implement differential privacy, encryption, and access controls to safeguard sensitive health data.
• Contribute to the development of governance frameworks to ensure transparent, explainable, and bias-mitigated models.
• Document model lifecycle, from training to deployment, including risk assessments, validation reports, and audit trails.
• Work cross-functionally with program managers, clinicians, data scientists, and software developers to identify opportunities for AI/ML applications that improve healthcare delivery and veteran outcomes.
• Present complex machine learning findings in a way that is actionable and aligned with federal healthcare program goals.
• Stay updated on the latest developments in AI/ML applications for public health and healthcare operations.
• Prototype and test emerging AI technologies (e.g., NLP for clinical text, computer vision for imaging diagnostics) for possible integration into government systems.
• Monitor deployed models for drift, accuracy, and operational effectiveness over time.
• Maintain model retraining schedules based on new data inputs or policy changes.
• Prepare comprehensive documentation and reports for internal stakeholders and external oversight (e.g., OMB, GAO, IG audits).
• Develop dashboards and visualizations to track performance metrics, patient outcomes, and utilization trends impacted by AI/ML tools.
Qualifications:
Required:
• Bachelor’s degree or higher in one of the following disciplines, Computer Science, Data Science, Artificial Intelligence / Machine Learning, Mathematics / Statistics, Biomedical Engineering, Health Informatics, Electrical or Computer Engineering
• 4+ years of experience in software and machine learning engineering.
• Strong knowledge of natural language processing (NLP) and transformer models.
• 5+ years proficiency in Python and hands-on experience with ML libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
• Proven experience building scalable, cloud-based AI/ML solutions and enhancing custom question answering mapping/workflows.
• Expertise in the full ML pipeline, including data processing, model training, serving, and monitoring.
• Knowledge of NLP architectural strategies such as Retrieval-Augmented Generation, Knowledge Graphs, and Agentic Graphs.
• Expertise in MLOps best practices, including Infrastructure as Code (IaC), CI/CD pipelines tailored for ML workflows, model version control, and real-time performance monitoring to ensure scalable and reliable AI/ML systems.
• Familiarity with federal AI governance frameworks and compliance standards (e.g., NIST AI RMF, FedRAMP) is a plus.
• Passion for developing team-oriented solutions to complex engineering problems
• Excellent communication skills and attention to detail
• Analytical mind and problem-solving aptitude
• Ability to obtain and maintain a Public Trust
• Strong organizational skills
Preferred:
• Master’s degree in one of the above-mentioned fields
• Preferred Tools & Environments: Python, R, TensorFlow, PyTorch, Scikit-learn, AWS (SageMaker), Azure ML, Databricks, Apache Spark, Power BI, Tableau, Plotly, Git, GitHub/GitLab
• Active VA Public Trust
• Prior experience supporting a VA program
• Prior, successful experience working in a remote environment
Company:
IGS is a solutions provider, partnering with the Federal Government to tackle the most challenging issues, including interoperability, data analytics, business/clinical applications and operations, and program/project management. Founded in 2007, the company is headquartered in West Palm Beach, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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