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Ai Full Stack Developer Jobs in Myrtle Point, OR

Personnel must have demonstrated experience in building and validating AI/ML models using Python ... TensorFlow Developer Certification. Additional Information Work Environment * Full remote ...

From there, the platform ambition spans the full B+L portfolio, covering surgical, pharmaceutical ... with engineering teams, and make informed decisions on AI and data infrastructure Strongly ...

From there, the platform ambition spans the full B+L portfolio, covering surgical, pharmaceutical ... with engineering teams, and make informed decisions on AI and data infrastructure Strongly ...

... use of AI to accelerate insight delivery. * Coach and mentor analysts, drive analytical best ... Work closely with project teams, enterprise developers, systems analysts, data scientists, and ...

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment * Full ...

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment * Full ...

Data Scientist

OR · On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment * Full ...

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Post-secondary education in software engineering, computer science, or a related field, or ... Benefits This position offers a competitive compensation package, including a full benefits package ...

Position Sapiens' full platform and value proposition aligned to customers' transformation ... Coordinate internal stakeholders across Sales Engineering, Product, Delivery, and Executive ...

Showing results 21-40

Ai Full Stack Developer information

See Myrtle Point, OR salary details

$22

$55

$80

How much do ai full stack developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai full stack developer in Myrtle Point, OR is $55.57, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $64.04 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

What cities near Myrtle Point, OR are hiring for Ai Full Stack Developer jobs?

Cities near Myrtle Point, OR with the most Ai Full Stack Developer job openings:

Infographic showing various Ai Full Stack Developer job openings in Myrtle Point, OR as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 58% Physical, 3% Hybrid, and 39% Remote job distribution, with an average salary of $115,582 per year, or $55.6 per hour.

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 8 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.