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Python Ai Developer Jobs in Coos Bay, OR (NOW HIRING)

... engineering processes, and audit compliance. * The contractor shall implement sprint-based Agile ... Personnel must have demonstrated experience in building and validating AI/ML models using Python ...

This Engineer also understands the software development lifecycle (from coding to support) and ... Use AI extensively to analyse large codebases and provide improvements. * Help refine and improve ...

Senior Data Scientist

OR · Remote

$84K - $112K/yr

... AI are used across Finance. What We Look For in a Candidate 3-5 years of experience in data science, data engineering, analytics, or a related role Strong Python and SQL skills Experience with ...

Data Scientist

OR · On-site

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

Data Scientist

OR · On-site +1

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

Senior Lead IT Engineer, Flexera One

OR · On-site +1

$132K - $176K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Proficiency with scripting and automation (e.g., PowerShell, Bash, Python). * Excellent ...

... engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required. * Personnel must have experience in cloud-based AI/ML tools ...

Showing results 21-28

Python Ai Developer information

See Coos Bay, OR salary details

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How much do python ai developer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for python ai developer in Coos Bay, OR is $55.45, according to ZipRecruiter salary data. Most workers in this role earn between $45.72 and $62.98 per hour, depending on experience, location, and employer.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How do you become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with AI frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can also enhance your qualifications.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data science tools tend to earn higher salaries.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.
What cities near Coos Bay, OR are hiring for Python Ai Developer jobs? Cities near Coos Bay, OR with the most Python Ai Developer job openings:
Infographic showing various Python Ai Developer job openings in Coos Bay, OR as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution, with an average salary of $115,343 per year, or $55.5 per hour.

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.