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Junior Ai Machine Learning Python Jobs in Portland, OR

Intel

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Strong programming experience in Python and SQL including developing scalable data pipelines and ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

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Junior Ai Machine Learning Python information

See Portland, OR salary details

$49.3K

$100.3K

$150.6K

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

As of Aug 19, 2026, the average yearly pay for junior ai machine learning python in Portland, OR is $100,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $101,300.00 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 Portland, OR?

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

What job categories do people searching Junior Ai Machine Learning Python jobs in Portland, OR look for?

The top searched job categories for Junior Ai Machine Learning Python jobs in Portland, OR are:

What cities near Portland, OR are hiring for Junior Ai Machine Learning Python jobs?

Cities near Portland, OR with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you

AI Scientist Senior II

Cambia Health Solutions

Portland, OR • On-site

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Cambia Health Solutions rating

8.4

Company rating: 8.4 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

120th of 310 rated insurance

Job description

Position Summary

AI Scientist Senior II – Hybrid (3 days/week in office). Eligible for locations in Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargo. Must live within commutable distance or be willing to relocate. Build AI solutions that make health care easier and lives better.

Responsibilities
  • Design, develop, and implement data‑driven AI solutions for clinical care delivery, customer experience, and payment integrity.
  • Architect and build sophisticated AI systems, writing production‑quality code, conducting rigorous experiments, and establishing best practices.
  • Mentor junior AI scientists, influence technical direction, and drive cross‑functional initiatives with Product, Engineering, and Business teams.
  • Lead the adoption of advanced generative AI, machine learning, and deep learning techniques, integrating them into scalable production pipelines.
  • Partner with stakeholders to identify high‑impact AI opportunities, translate ambiguous business challenges into measurable AI projects, and quantify business ROI.
  • Manage end‑to‑end lifecycle: data engineering, model development, MLOps, responsible AI governance, and continuous monitoring in production.
Qualifications

• Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics (or equivalent).

  • 12+ years of related experience (education/experience equivalence considered).
  • Expert in generative AI, machine learning, deep learning, and advanced AI/ML techniques.
  • Proficient in Python, software engineering principles (design patterns, testing, CI/CD), and MLOps.
  • Strong SQL and data‑engineering skills; experience with complex query optimization and data‑pipeline design.
  • Hands‑on experience with noisy, high‑dimensional, sparse, imbalanced, and biased real‑world data across claims, clinical, and member engagement domains.
  • Knowledge of healthcare industry (preferred); familiarity with payer operations, regulations, and trends.
  • Excellent communication skills, able to present technical concepts to technical teams and C‑level executives.
  • Leadership presence, mentoring ability, and a track record of influencing technical decisions and delivering results.
What You Will Do
  • Lead the design and architecture of complex multi‑component AI systems and define technical standards.
  • Research, prototype, and implement cutting‑edge AI techniques to solve healthcare challenges.
  • Translate ambiguous business problems into clear AI initiatives, design experimentation strategies (A/B testing, causal inference), and communicate ROI to stakeholders.
  • Build and maintain scalable AI data pipelines, ensuring data quality, governance, and compliance with HIPAA.
  • Mentor junior scientists, share knowledge through workshops and technical presentations, and support hiring and onboarding.
  • Champion responsible AI practices, including bias detection, fairness, transparency, and accountability, ensuring regulatory compliance.
Benefits & Compensation
  • Competitive base pay, 401(k) with significant company match, and performance‑based bonus.
  • Medical, dental, vision, mental health benefits, and health‑savings‑account contribution.
  • Paid time off, holidays, parental leave, and wellness programs.
  • Work‑from‑home flexibility where allowed.

Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, national‑origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status, or any other status protected by law.

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