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Tensorflow Jobs in Remote, OR (NOW HIRING)

SOSi

Senior Data Scientist

OR

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 ...

SOSi

Senior Data Scientist

OR · On-site +1

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 ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools. * Experience in business process analysis, process mapping, and workflow ...

Bausch+Lomb Companies Inc.

AI Agent ML Engineer

OR

$165K - $190K/yr

Strong programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and agent orchestration tools. * Experience in business process analysis, process mapping, and workflow ...

All JobsTensorflow JobsTensorflow Jobs in Remote, OR

Tensorflow information

See Remote, OR salary details

$37.5K

$122.6K

$196.3K

How much do tensorflow jobs pay per year?

As of Jun 19, 2026, the average yearly pay for tensorflow in Remote, OR is $122,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $135,900.00 per year, depending on experience, location, and employer.

What kind of jobs use TensorFlow?

Jobs that use TensorFlow typically include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing, training, and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

Which 3 jobs will survive AI?

TensorFlow professionals, data scientists, and AI engineers are likely to continue thriving as AI advances, since their roles involve developing, training, and maintaining machine learning models. These jobs require specialized skills in programming, mathematics, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and certification in AI tools can help ensure job security in this evolving field.

What job makes $10,000 a month without a degree?

In the field of TensorFlow and machine learning, roles such as freelance AI developer, data scientist, or machine learning engineer can earn $10,000 or more per month with strong skills and experience, often without a formal degree. These positions typically require proficiency in programming, deep learning frameworks, and project portfolios, and may involve remote work or contract-based projects.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in TensorFlow, deep learning, and data science. These roles usually involve leadership, extensive experience, and may include stock options or bonuses, with compensation reflecting expertise and impact on business outcomes.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are popular job titles related to Tensorflow jobs in Remote, OR? For Tensorflow jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Tensorflow jobs in Remote, OR look for? The top searched job categories for Tensorflow jobs in Remote, OR are:
Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Remote, OR as of June 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $122,617 per year, or $59 per hour.

Senior Data Scientist

SOSi

OR

Full-time

Posted 4 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.

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