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Junior Ai Machine Learning Python Jobs in Remote, OR

Python * Luna * Java * Docker * OpenJDK * Ansible * Packer * Maven * Kubernetes * Red Hat ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Python * Luna * Java * Docker * OpenJDK * Ansible * Packer * Maven * Kubernetes * Red Hat ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

Python * Luna * Java * Docker * OpenJDK * Ansible * Packer * Maven * Kubernetes * Red Hat ... Experience structuring data so it can be integrated into machine learning technologies or AI ...

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Infrastructure Engineer

OR · Remote

$100K - $200K/yr

About Anytime AI At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff ... You are eager to keep up with the latest industry trends and committed to continuous learning and ...

Senior Odoo Technical Developer

OR · On-site

$113K - $146.70K/yr

... review junior engineers' work, and shape how Octura builds maintainable Odoo modules at scale ... Design and develop custom Odoo modules in Python 3 and OWL 3 for client-specific workflows

Senior Lead Data Architect

OR · Remote

$63 - $84.50/hr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Data science exposure preferred - familiarity with machine learning concepts, statistical modeling ...

Senior Lead IT Engineer

OR · On-site +1

$132.23K - $176.31K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Mentor junior engineers and promote engineering best practices. * Demonstrate ownership ...

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Junior Ai Machine Learning Python information

See Remote, OR salary details

$46.5K

$94.4K

$141.9K

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 Remote, OR is $94,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,900.00 and $95,400.00 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 Remote, OR? For Junior Ai Machine Learning Python jobs in Remote, OR, the most frequently searched job titles are:
What cities near Remote, OR are hiring for Junior Ai Machine Learning Python jobs? Cities near Remote, OR with the most Junior Ai Machine Learning Python job openings:
Back End Developer - Mid-level

Back End Developer - Mid-level

Maximus

Remote

Full-time

Posted 11 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 287 frontline employees who took The Breakroom Quiz

229th of 424 rated business services


Job description

General information
Job Posting Title
Back End Developer – Mid-level
Date
Friday, May 15, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is a trusted federal partner supporting mission‑critical programs across national security, defense, and public service delivery. Recent contract awards in cybersecurity and operational readiness underscore Maximus’ role as a reliable prime for high‑impact government missions. Joining Maximus means contributing to meaningful work in fast‑paced environments alongside professionals committed to service, accountability, and results.
 
This position is contingent upon contract award and position availability. Selected candidates will receive a contingent offer of employment, which will become final only upon successful contract award to Maximus, availability of the position, and receipt of authorization to proceed.
 

This role is remote and requires an active Secret clearance. 
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS196, T4, Band 7
Job-Specific Essential Duties and Responsibilities:
  • Provides subject matter proficiency supporting back-end software development activities.
  • Applies analytical skills supporting process improvement, specialized studies, and requirements definition.
  • Performs analysis, planning, and development of requirements documents and functional models.
  • Designs and develops back-end architectures supporting system capabilities and integrations.
  • Develops and modifies RESTful APIs supporting application functionality.
  • Performs database management, data modeling, and optimization.
  • Supports testing and validation to verify system operability and compliance.
  • Participates in Agile program increment (PI) planning and activities requiring periodic travels.
Job-Specific Minimum Requirements:
  • Active Secret clearance or above required. Active TS/SCI highly preferred. 
  • Bachelor’s degree in related field required.
  • A Master’s degree may substitute for 2 years of experience.
  • 7 years of software development experience in object-oriented and scripted languages with the ability to apply several tool suites related to DevSecOps, microservices and containers.
  • 3 years of experience with bug tracking software (Jira).
  • 3 years of experience testing web-based applications.
  • 3 years of experience participating in software development programs or projects.
  • 3 years of experience performing back-end web design and development.
  • 3 years of experience with the following: AWS Infrastructure, Kubernetes, and RedHat Linux.
  • 5 years of experience with Jenkins and GitLab.
  • 5 years of experience with at least five (5) of the following:
    • Postgres
    • RDS
    • Exodus
    • Python
    • Luna
    • Java
    • Docker
    • OpenJDK
    • Ansible
    • Packer
    • Maven
    • Kubernetes
    • Red Hat
  • Demonstrated experience with relational databases, RESTful API development and communication, and system integrations.
  • Demonstrated experience in preparing, conducting, and documenting various systems tests and results to verify system operability and compliance with project standards and requirements.
  • Practical experience developing in a cloud environment.
  • Experience with integrating data from unclassified to classified application deployments.
Preferred Skills and Qualifications:
  • Experience using Agile Test-Driven development.
  • Experience integrating into DoW DevSecOps environments.
  • 5 years of experience with CI/CD software development.
  • Demonstrated experience in utilizing UX design tool suites (e.g., Sketch, InVision).
  • Experience structuring data so it can be integrated into machine learning technologies or AI capabilities.

#techjobs #clearance #veteransPage #USCYBERCOM
Minimum Requirements
TCS196, T4, Band 7
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus ...

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