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Contract Tensorflow Jobs (NOW HIRING)

Saransh Inc

Agentic AI Developer

Jersey City, NJ · On-site

Contract Job Summary: As an AI Agent Developer, you will design, develop, and deploy intelligent AI ... AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required ...

Centraprise

ML Engineer

Minneapolis, MN · On-site

Collaborate with Data Engineering on feature pipelines and data contracts. * Own production health ... Python, TensorFlow, PyTorch, Docker, REST APIs

Centstone

Senior GenAI Engineer

Jersey City, NJ · On-site

$60 - $70/hr

Contract Schedule: Onsite Experience: 15+ Years About the Role We are seeking a highly experienced ... Proficiency in Python and Java (R preferred) with experience using TensorFlow, PyTorch, and Scikit ...

New

Lorven Technologies

ML Engineer

Contract Experience: 12+years * Client is looking for an ML Engineer with the skills mentioned below; all are mandatory * ML - Python, Any framework PyTorch, TensorFlow, AWS and good experience in ...

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All JobsContract Tensorflow Jobs

Contract Tensorflow information

See salary details

$37.5K

$122.7K

$196.5K

How much do contract tensorflow jobs pay per year?

As of Jul 31, 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.

More about Contract Tensorflow jobs
What cities are hiring for Contract Tensorflow jobs? 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? States with the most job openings for Contract Tensorflow jobs include:
What job categories do people searching Contract Tensorflow jobs look for? The top searched job categories for Contract Tensorflow jobs are:
Contract Tensorflow jobs near you
Infographic showing various Contract Tensorflow job openings in the United States as of July 2026, with employment types broken down into 57% Full Time, 22% Part Time, 1% Temporary, and 20% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AI Specialist - Contract - Pontiac, MI - Remote

INFO ORIGIN INC

Pontiac, MI • Remote

$60 - $70/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title : AI Specialist (Remote)

Duration : Long-term contract

Location : Pontiac, MI

Interview     :         Video

Job Description:

  • Leads the design, development, and launch of an AI innovation program by assessing organizational readiness and innovation culture, establishing operating models, and success metrics, and implementing innovation frameworks and best practices aligned with existing technology standards. Designs, develops, and deploys AI solutions that enhance business processes, improve decision-making, and drive innovation.
  • Collaborates with cross-functional stakeholders to identify high-value use cases, gather requirements, prepare data, select, train, validate, and deploy AI models and applications.
  • Develops roadmaps that prioritize impactful innovation initiatives while fostering knowledge sharing, cross-functional collaboration, and sustainable adoption across the organization.
  • Continuously evaluates emerging AI technologies, research, and industry trends to ensure the organization remains at the forefront of AI innovation and delivers measurable business value.
  • This role is innovation and cultural change management first, collaboration with the teams implementing AI second.

Environment

  • Python, R, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases, data visualization tools (Tableau, PowerBI)