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Contract Tensorflow Jobs in Austin, TX (NOW HIRING)

Contract(onsite) Job Summary We are looking for an experienced AI/ML Engineer to design, develop ... Experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks. • Strong ...

Sr. Computer Vision Engineer

Austin, TX · On-site

$180K - $250K/yr

Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow ... We specialize in recruiting skilled individuals for both full-time direct hires and contract ...

Contract Job ID: 178870 Job Overview: We are seeking a skilled AI/ML Engineer with expertise in ... Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, or Scikit-learn. * Excellent ...

You are the living contract between what our researchers dream up and what our silicon team can ... TensorFlow - specifically at the export and compilation layer. You're comfortable with graph ...

You are the living contract between what our researchers dream up and what our silicon team can ... TensorFlow - specifically at the export and compilation layer. You're comfortable with graph ...

Contract Tensorflow information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

How much do contract tensorflow jobs pay per year?

As of Aug 18, 2026, the average yearly pay for contract tensorflow in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 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.

What job categories do people searching Contract Tensorflow jobs in Austin, TX look for?

The top searched job categories for Contract Tensorflow jobs in Austin, TX are:

What cities near Austin, TX are hiring for Contract Tensorflow jobs?

Cities near Austin, TX with the most Contract Tensorflow job openings:

Sr. GCP Infra Platform Engineer (AI/ML + Terraform)

Nityo Infotech

Austin, TX • On-site

$65/hr

Full-time

Re-posted 18 days ago


Job description

We are hiring for the below role.

Role: Sr. GCP Infra Platform Engineer (AI/ML + Terraform)
Location: Austin, TX 78758 (100% Onsite)

Preference:

  • FTE only (Non H1B) | Max Salary: $105K–$110K

  • Contract to Hire (for H1B candidates) | Max Rate: $65/hr

Job Description:

  • Bachelor’s or higher degree in Computer Science or equivalent

  • 9+ years professional software engineering experience

  • 3+ years specialized experience in AI/ML infrastructure, distributed training, and scaling large ML models

  • Strong experience with Python and frameworks such as PyTorch, TensorFlow, etc.

  • Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi, etc.)

  • Knowledge of distributed computing, GPU computing, and GCP environments

  • Ability to work in highly ambiguous and dynamic environments