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Contract Tensorflow Jobs in Tennessee (NOW HIRING)

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

Contract Pay: Commensurate with experience About FOCUSPOINT: FOCUSPOINT specializes in connecting ... Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks ...

CGI Inc.

AI/ML Engineer

Knoxville, TN · On-site

US Citizenship is required per contract . Ability to obtain a Secret clearance - Education o ... TensorFlow, PyTorch; model training, tuning, serving, and monitoring. o Generative AI: hands on ...

All JobsContract Tensorflow JobsContract Tensorflow Jobs in Tennessee

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 popular job titles related to Contract Tensorflow jobs in Tennessee? For Contract Tensorflow jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Contract Tensorflow jobs in Tennessee look for? The top searched job categories for Contract Tensorflow jobs in Tennessee are:
What cities in Tennessee are hiring for Contract Tensorflow jobs? Cities in Tennessee with the most Contract Tensorflow job openings:
Contract Tensorflow jobs near you
Infographic showing various Contract Tensorflow job openings in Tennessee as of June 2026, with employment types broken down into 4% Internship, 4% As Needed, 88% Full Time, and 4% Nights. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

AI Engineer

FOCUSPOINT

Nashville, TN • On-site

Contractor

Medical, Dental, Vision, Life

Posted 7 days ago

Job description

Job Title: AI Engineer
Location: Varies by client
Employment Type: Contract
Pay: Commensurate with experience

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.

Job Overview:
FOCUSPOINT is seeking an experienced AI Engineers for our client base.

We're partnering with forward-thinking companies that are scaling their machine learning operations and real-time AI deployments. As an AI Engineer, you’ll play a pivotal role in designing, training, and refining intelligent systems across key business domains. This is your opportunity to be at the forefront of innovation—with support from a team that understands both the tech stack and the talent landscape.

Our clients look for engineers who bring more than just model fluency—they need builders, integrators, and problem-solvers who can bridge research with production.

Key Responsibilities:

  • Design, implement, and optimize AI/ML models (NLP, CV, RL, LLM fine-tuning) to solve high-impact business problems
  • Collaborate with cross-functional teams (Data Scientists, MLOps, Product Managers) to productionize models and monitor performance
  • Develop scalable pipelines for data ingestion, feature engineering, model training and deployment
  • Stay current with emerging AI frameworks and contribute to internal knowledge-sharing and POC development
  • Ensure model integrity, reproducibility, and ethical AI guidelines in deployment

Qualifications:

  • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, or a related field
  • 3–5 years of experience in AI/ML development, with hands-on work deploying models in production
  • Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks like MLflow or Kubeflow
  • Cloud experience with AWS/GCP/Azure; containerization with Docker/Kubernetes preferred
  • Strong understanding of model architecture, training optimization, and performance tuning

Benefits:

  • Dental insurance
  • Health insurance
  • Health savings account
  • Life insurance
  • Vision insurance