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Junior Ai Machine Learning Python Jobs in Portland, OR

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110.80K - $152.20K/yr

... machine learning applications. Responsibilities : • Work with clients to design, develop, and ... coach junior members on technical best practices and inspire professional development ...

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Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

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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 May 29, 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 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 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:
Assistant/Associate Professor of Translational Data Science & Artificial Intelligence

Assistant/Associate Professor of Translational Data Science & Artificial Intelligence

Oregon Health & Science University

Portland, OR • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Oregon Health & Science University rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

106th of 529 rated colleges and universities


Job description

Department Overview
The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE), one of 11 divisions in the OHSU Department of Medicine, is a national leader in biomedical informatics research and education. Faculty benefit from OHSU's highly collaborative environment, including access to a number of teams and resources related to innovation with and translation of AI, as well as the Advanced Computing Center. OHSU values a diverse and culturally competent workforce and is proud to be an equal opportunity, affirmative action organization.
**Open to various rank levels (Assistant, Associate, or Professor) dependent on experience**
Function/Duties of Position
The Division of Informatics, Clinical Epidemiology and Translational Data Science (DICE) at OHSU seeks a tenure-track faculty member to lead a research program at the intersection of Artificial Intelligence (AI), machine learning (ML), and translational science. The successful candidate will develop computational methods to bridge the gap between complex biomedical data and clinical bedside application, leveraging OHSU's extensive electronic health record (EHR) data, imaging repositories, and genomic datasets.
Key Responsibilities
Research & Scholarship (70%):
  • Establish and maintain an independently funded research program focused on translational AI (e.g., predictive clinical modeling, precision oncology, ambient intelligence, or bias mitigation in healthcare algorithms).
  • Collaborate with clinical partners in the Knight Cancer Institute, Oregon Clinical and Translational Research Institute (OCTRI), the Center for AI-Enabled Learning Health Science (CAILS) and others to validate and implement AI tools in real-world settings.
  • Publish high-impact findings in peer-reviewed journals and present at national/international conferences.

Education & Mentoring (20%):
  • Teach graduate-level courses in the Biomedical Informatics Graduate Program (e.g., Applied Machine Learning, Health Data Analytics).
  • Mentor MS/PhD students, postdoctoral fellows, and clinical informatics fellows, fostering their development as independent scientists.

Service & Leadership (10%):
  • Participate in departmental committees and OHSU-wide governance regarding ethical AI usage and data science infrastructure.
  • Contribute to grant review panels and professional societies.

Required Qualifications
  • PhD, MD/PhD, or equivalent in Biomedical Informatics, Computer Science, Data Science, Statistics, or a related field.
  • Demonstrated expertise in applying machine learning/deep learning to biomedical problems (e.g., NLP or EHR, computer vision for pathology/radiology, or multi-omics integration).
  • Track record of scholarly productivity (publications) and potential for securing external fudning (e.g., NIH, NSF, PCORI)
  • Proficiency in Python, R, SQL, and experience with high-performance computing environments

Preferred Qualifications
  • Experience with implementation science or deploying algorithmic tools into clinical workflows
  • Previous success securing K-awards or R-level grant funding
  • Familiarity with federated learning or privacy-preserving computation

Why apply to OHSU?
We are Oregon's only public academic health center.
In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington.
All are welcome.
OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply.
To request reasonable accommodation, contact askhr@ohsu.edu

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About Oregon Health & Science University

Sourced by ZipRecruiter

Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887