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Contract Tensorflow Jobs (NOW HIRING)

Siri InfoSolutions Inc

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Contract * Knowledge of MLOps platforms * Good experience with Sage Maker * Proven 8+ years of ... Proficiency with Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn. * An in ...

Accord Technologies Inc.

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

W2 contract. Requirement: We are seeking an experienced and proactive Senior AI Engineer to join ... Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow.

H2B Consulting, Inc.

AI/ML Engineer III

Englewood, CO · On-site

$165.31 - $220.42/hr

H2B Consulting is seeking an AI/ML Engineer III for a 4-month onsite contract in Englewood, CO. In ... Experience with TensorFlow and PyTorch * Expertise in deep learning, reinforcement learning ...

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Contract Tensorflow information

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$37.5K

$122.7K

$196.5K

How much do contract tensorflow jobs pay per year?

As of Aug 19, 2026, the average yearly pay for contract tensorflow in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 jobs use Contract Tensorflow?

Jobs that use Contract TensorFlow typically include machine learning engineer, data scientist, AI developer, and research scientist roles. These positions involve developing, training, and deploying machine learning models using TensorFlow, often requiring skills in Python, deep learning, and cloud platforms. Contract roles may be project-based or temporary, focusing on specific AI or data analysis tasks.
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Cities with the most Contract Tensorflow job openings:

What are the most commonly searched types of Tensorflow jobs?

The most popular types of Tensorflow jobs are:

What states have the most Contract Tensorflow jobs?

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Contract Tensorflow jobs near you
Infographic showing various Contract Tensorflow job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data scientist with Python and AI/ML consultant.

Accord Technologies Inc.

Alpharetta, GA • On-site

Contractor

Re-posted 17 days ago

Job description

Title: Data Scientist with Python and AI/ML consultant.
Location: Alpharetta, GA (100% onsite)
Inperson interview required
Position type; W2 contract

We are looking for a talented Data Scientist with Python and AI/ML expertise to build predictive models, deploy machine learning solutions, and deliver advanced analytics across enterprise platforms. The role focuses on transforming data into actionable business insights using modern AI techniques.

Key Responsibilities

  • Develop and deploy machine learning models using Python.

  • Perform data exploration, feature engineering, and model evaluation.

  • Build AI/ML solutions for prediction, classification, NLP, and recommendation systems.

  • Work with large datasets using SQL, Pandas, NumPy, Spark.

  • Implement deep learning models using TensorFlow / PyTorch.

  • Develop NLP pipelines using spaCy, NLTK, HuggingFace.

  • Collaborate with product and engineering teams to operationalize models (MLOps).

  • Monitor model performance and retrain as required.

  • Create dashboards and presentations for stakeholders.

  • Support experimentation and A/B testing frameworks.

Required Skills

  • Strong proficiency in Python for data science and ML.

  • Experience with Scikit-learn, TensorFlow, PyTorch.

  • Strong knowledge of statistics, probability, and linear algebra.

  • Experience with SQL and big data tools (Spark, Hadoop).

  • Hands-on experience with NLP, computer vision, or recommendation systems.

  • Knowledge of MLOps, CI/CD for ML models.

  • Experience deploying models in cloud environments (AWS/Azure/GCP).