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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 ...

AI ENGINEER

Reston, VA ยท On-site

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 ...

Machine Learning Engineer - Remote

Vienna, VA ยท On-site

$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)

Sr. Machine Learning Engineer

Fort Belvoir, VA ยท On-site

$118K - $162K/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 ยท 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 ยท On-site

$111K - $153K/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.

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

Which 5 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as contract TensorFlow roles involving AI model development, data science, software engineering, AI research, and machine learning engineering, are likely to persist. These roles demand specialized skills, continuous learning, and adaptability to evolving AI tools and frameworks.

What has replaced TensorFlow?

For a Contract TensorFlow role, there is no single direct replacement, but alternatives like PyTorch have gained popularity in machine learning and deep learning projects. Many organizations now adopt PyTorch or other frameworks depending on project requirements, and knowledge of multiple tools can be beneficial for such roles.

What kind of jobs use TensorFlow?

Jobs that use TensorFlow typically include machine learning engineer, data scientist, AI researcher, and deep learning developer roles. These positions involve developing, training, and deploying neural network models for tasks such as image recognition, natural language processing, and predictive analytics, often requiring knowledge of Python and related frameworks.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Contract TensorFlow developers, tend to offer high salaries due to the specialized skills required, such as programming in Python and experience with frameworks like TensorFlow. Compensation varies based on experience, location, and project complexity, but generally, ML jobs are among the higher-paying roles in the tech industry.

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 June 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Part Time. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.
AI Platform Developer

AI Platform Developer

Staffingine LLC

Herndon, VA โ€ข On-site

Contractor

Posted 6 days ago

Be an early applicant


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. ย 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. ย 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.