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Associate Tensorflow Jobs in Virginia (NOW HIRING)

AI Engineer

Richmond, VA · On-site

$55K - $187K/yr

As a Senior Associate, you will leverage your skills to analyze complex problems, mentor others ... TensorFlow - Integrating data from diverse sources to support AI and machine learning solutions ...

New

Deep hands-on expertise in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn ... Azure AI Engineer Associate / AI-102), plus hands-on production experience with Azure ML, Azure ...

Deep hands-on expertise in Python and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn ... Azure AI Engineer Associate / AI-102), plus hands-on production experience with Azure ML, Azure ...

Required : • A bachelor's degree plus 3 years of recent specialized experience, OR, an associate ... TensorFlow, XGBoost, MLflow). • Familiarity with MLOps, API development, and secure cloud-based ...

AI/ML certification (e.g., AWS ML, Google Professional ML Engineer, Azure AI Engineer, TensorFlow Developer) * RPA certification (UiPath Certified RPA Associate or Microsoft Power Automate Developer ...

AI/ML certification (e.g., AWS ML, Google Professional ML Engineer, Azure AI Engineer, TensorFlow Developer) * RPA certification (UiPath Certified RPA Associate or Microsoft Power Automate Developer ...

Data Science, Senior Associate Job Locations US Responsibilities We are looking for a Data ... or TensorFlow). * Hands-on experience with MLFlow or equivalent tools for experiment tracking ...

New

Data Science, Senior Associate Job Locations US Responsibilities We are looking for a Data ... or TensorFlow). * Hands-on experience with MLFlow or equivalent tools for experiment tracking ...

New

Engineer II, AI/ML

Richmond, VA · On-site

$96K - $132K/yr

... TensorFlow * Working knowledge of distributed databases (e.g., DynamoDB, Cosmos DB), caching ... Along the way,we help every associate grow their career and achieve their best, at work and in ...

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

Proficiency in Python and familiarity with ML frameworks such as scikit-learn, TensorFlow, PyTorch ... AWS DevOps Engineer * Azure Data Scientist Associate * Google Professional Machine Learning ...

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

Proficiency in Python and familiarity with ML frameworks such as scikit-learn, TensorFlow, PyTorch ... AWS DevOps Engineer * Azure Data Scientist Associate * Google Professional Machine Learning ...

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

Proficiency in Python and familiarity with ML frameworks such as scikit-learn, TensorFlow, PyTorch ... AWS DevOps Engineer * Azure Data Scientist Associate * Google Professional Machine Learning ...

Data Engineer

Falls Church, VA · On-site

$122K - $146K/yr

A bachelor's degree plus 3 years of recent specialized experience, OR, an associate's degree plus 7 ... TensorFlow, XGBoost). * Familiarity with MLOps, API development, and secure cloud-based ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Associate's degree plus 7 years of recent specialized experience; or * Major certification plus 7 ... TensorFlow, and XGBoost. * Strong technical communication skills with the ability to explain ...

Showing results 21-40

Associate Tensorflow information

What jobs use Tensorflow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and familiarity with TensorFlow frameworks. Such positions are common in technology companies, research institutions, and organizations focused on artificial intelligence and data analysis.

What are the most commonly searched types of Tensorflow jobs in Virginia?

The most popular types of Tensorflow jobs in Virginia are:

What cities in Virginia are hiring for Associate Tensorflow jobs?

Cities in Virginia with the most Associate Tensorflow job openings:

Data Scientist

Fredericksburg, VA • On-site

RecruitTalent LLC.
IT Services • 1 - 10 employees

$60 - $70/hr

Contractor

Re-posted 19 days ago


Job description

General Responsibilities:

  • Design and implement data pipelines, analytics models, and machine-learning solutions to support process automation and predictive decision-making.
  • Collect, clean, and validate structured and unstructured data from multiple enterprise systems, ensuring data quality and integrity.
  • Perform statistical analysis, forecasting, and pattern recognition to identify process improvement opportunities.
  • Develop interactive dashboards and visualizations using tools like Power BI or Tableau for real-time performance tracking.
  • Collaborate with Solution Architects and Business Analysts to integrate data insights into workflow automation and digital solutions.
  • Support the creation and enforcement of data governance, metadata, and access-control frameworks in coordination with cybersecurity policies.
  • Evaluate and deploy AI/ML models (e.g., classification, regression, clustering, NLP) within automation and decision-support platforms.
  • Implement ETL processes and maintain scalable data storage on cloud platforms such as AWS, Azure, or GCP.
  • Provide technical documentation, data dictionaries, and model explainability reports for audit and compliance purposes.
  • Support training and knowledge transfer, enabling end users to interpret and leverage analytical insights.

Minimum Qualifications:

  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or related discipline.
  • Experience:
    • 5–8 years of experience in data analytics, machine learning, or AI model deployment.
    • Proven success designing analytical solutions for IT modernization, automation, or enterprise transformation projects.
    • Experience working with large, complex datasets and applying data-driven methods to improve business or operational performance.

Technical Expertise:

  • Programming & Analysis: Python, R, SQL, Power Query, or PySpark.
  • Machine Learning & AI: scikit-learn, TensorFlow, Keras, or PyTorch.
  • Data Visualization: Power BI, Tableau, Matplotlib, or Plotly.
  • Data Engineering: ETL tools, APIs, REST services, and cloud data storage (AWS S3, Azure Data Lake, GCP BigQuery).
  • Statistics & Modeling: Regression, time-series forecasting, clustering, and anomaly detection.
  • Governance & Security: Familiarity with NIST data-handling standards, FedRAMP compliance, and secure data pipelines.

Preferred Certifications:

  • Microsoft Certified: Data Scientist Associate or Azure AI Engineer
  • Google Professional Data Engineer or AWS Certified Data Analytics – Specialty
  • Certified Analytics Professional (CAP) – INFORMS
  • Lean Six Sigma Green Belt (for data-driven process improvement)
  • Power BI Data Analyst Associate