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Ai Engineer Contract Jobs in Tennessee (NOW HIRING)

AI Engineer Location: Varies by client Employment Type ... Contract Pay: Commensurate with experience About FOCUSPOINT: FOCUSPOINT specializes in connecting ...

AI/ML Engineer

Franklin, TN ยท On-site

$113K - $135K/yr

... contracts, in more verticals, with transparent, value-driven pricing for our membership of ... Act as a technical leader by staying current with emerging tools in data engineering and applied AI ...

The AI Legal Engineer is responsible for partnering with subject matter experts to design, build ... contract review, due diligence, drafting, research, and summarization. * Partner directly with ...

The AI Legal Engineer is responsible for partnering with subject matter experts to design, build ... contract review, due diligence, drafting, research, and summarization. * Partner directly with ...

AI/ML Engineer

Franklin, TN ยท On-site

$113K - $135K/yr

... contracts, in more verticals, with transparent, value-driven pricing for our membership of ... Act as a technical leader by staying current with emerging tools in data engineering and applied AI ...

AI/ML Engineer Duration:12 months Location: Onsite at Franklin, TN Work Type ... Contract - W2 Rate: Pay range offered to a successful candidate will be based on several factors ...

Contract * Design and implement scalable AIML models and pipelines * Apply LLM and RAG ... Prompt Engineering & RAG,Retrieval Augmented Generation,Fine Tuning Large Language Models,Prompt ...

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Ai Engineer Contract information

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

What are the key skills and qualifications needed to thrive as an AI engineer contract, and why are they important?

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

What is the difference between Ai Engineer Contract vs Data Scientist Contract?

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are the most commonly searched types of Ai Engineer jobs in Tennessee?

The most popular types of Ai Engineer jobs in Tennessee are:

What are popular job titles related to Ai Engineer Contract jobs in Tennessee?

For Ai Engineer Contract jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Ai Engineer Contract jobs in Tennessee look for?

The top searched job categories for Ai Engineer Contract jobs in Tennessee are:

What cities in Tennessee are hiring for Ai Engineer Contract jobs?

Cities in Tennessee with the most Ai Engineer Contract job openings:

Infographic showing various Ai Engineer Contract job openings in Tennessee as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI Engineer

FOCUSPOINT

Nashville, TN โ€ข On-site

Contractor

Medical, Dental, Vision, Life

Re-posted 20 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