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Contract Tensorflow Jobs in Virginia (NOW HIRING)

Contract * Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being ... Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn. * Data Science ...

USC, GC, H1B and EAD Contract Type: W2 * Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. * Strong skills in programming languages such as ...

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals ... Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face)

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118.20K - $162.30K/yr

Belvoir, VA (On-site with Hybrid Option) Duration: Long Term Contract Clearance: DOD Top Secret ... Extensive experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals ... Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face)

Senior AI Engineer

Falls Church, VA · On-site

$111.50K - $153.10K/yr

This position is contingent upon contract award. The War Data Platform (WDP) is a key initiative ... PyTorch, TensorFlow, SageMaker, Amazon Comprehend, or Elasticsearch, including experience deploying ...

Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

This position is contingent upon award of contract. Roles and Responsibilities * Design, develop ... Demonstrated experience with machine learning frameworks and tools such as TensorFlow, PyTorch ...

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Contract Tensorflow information

What is the difference between Contract Tensorflow vs Contract Machine Learning Engineer?

AspectContract TensorflowContract Machine Learning Engineer
Required CredentialsProficiency in TensorFlow, Python, ML conceptsProficiency in ML frameworks, Python, data analysis
Work EnvironmentProject-based, remote or on-site, tech companiesProject-based, tech or research firms, collaborative teams
Employer & Industry UsageTech companies, startups, AI-focused firmsTech companies, consulting firms, research institutions
Search & Comparison IntentUnderstanding TensorFlow-specific roles, contract workBroader ML roles, contract opportunities in ML

Contract Tensorflow roles focus specifically on implementing and optimizing models using TensorFlow, requiring expertise in this framework. Contract Machine Learning Engineer positions encompass a wider range of ML tools and techniques, often including TensorFlow but also other frameworks. Both roles are project-based, typically in tech environments, but Contract Tensorflow is more specialized in deep learning with TensorFlow.

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 Contract Tensorflow jobs? Cities in Virginia with the most Contract Tensorflow job openings:
Infographic showing various Contract Tensorflow job openings in Virginia as of May 2026, with employment types broken down into 2% As Needed, 92% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 83% Physical, and 17% Remote job distribution.
AI Platform Developer

AI Platform Developer

Staffingine LLC

Herndon, VA • On-site

Contractor

Posted 14 days ago


Job description

Job Title: Sr. AI Platform Developer
Job Location: Herndon, VA
Job Type: Contract

Job Description:

  1. Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable.
  2. Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.
  3.  AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
  4. Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are crucial, along with knowledge of SQL and NoSQL databases.
  5.  Big Data Technologies: Familiarity with platforms like Apache Spark and
  6. OpenSearch is often necessary for handling large-scale data.
  7. Mathematics and Statistics: A strong foundation in linear algebra, calculus, probability, and statistics is fundamental.
  8. Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key.
  9. Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure) and
  10. MLOps principles is vital for deploying and managing AI models.