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Artificial Intelligence Machine Learning Engineer Jobs in Franklin, TN

Ingram Content Group

VP, Application Services

La Vergne, TN · On-site

$171K - $220K/yr

... engineering, and artificial intelligence teams. Accountable for the full technology product ... machine learning, continuous integration and omnichannel. We support diverse people and technology ...

Ingram Content Group

VP, Application Services

La Vergne, TN

$171K - $220K/yr

... engineering, and artificial intelligence teams. Accountable for the full technology product ... machine learning, continuous integration and omnichannel. We support diverse people and technology ...

Pwc

AI Engineer

Nashville, TN

$50K - $112K/yr

... engineering to build and deploy software and platform systems that create ... Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve ...

Meharry Medical College

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

Proficiency in Python, R, or related programming languages for data analysis and scientific ... Experience in bioinformatics, genomics, machine learning, artificial intelligence, or biomedical ...

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

We're partnering with forward-thinking companies that are scaling their machine learning operations ... Bachelor's or Master's in Computer Science, Artificial Intelligence, or a related field * 3-5 years ...

Pwc

AI & GenAI Data Scientist - Manager

Nashville, TN

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Humana

Lead Data Engineer - NBA

Nashville, TN · On-site

$99K - $130K/yr

... decision intelligence, machine learning, reinforcement learning, agentic AI, and real-time ... You lead a small team of engineers and contractors while remaining deeply hands-on, building and ...

Humana

Lead Data Engineer - NBA

Nashville, TN

$99K - $130K/yr

... decision intelligence, machine learning, reinforcement learning, agentic AI, and real-time ... You lead a small team of engineers and contractors while remaining deeply hands-on, building and ...

Humana

Lead Data Engineer - NBA

Nashville, TN · On-site

$99K - $130K/yr

... decision intelligence, machine learning, reinforcement learning, agentic AI, and real-time ... You lead a small team of engineers and contractors while remaining deeply hands-on, building and ...

Varsity Tutors

Machine Learning Tutor

Murfreesboro, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Pwc

CTIO AI Engineering Manager

Nashville, TN · On-site

$73K - $244K/yr

... Artificial Intelligence and Robotics preferred - Designing, training, and deploying machine ... learning models - Developing scalable, cloud-native microservices using Docker and Kubernetes ...

Deloitte

Sr Databricks Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

... artificial intelligence and machine learning solutions The wage range for this role takes into ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

Humana, Inc.

Lead Data Engineer - NBA

Nashville, TN · On-site

$99K - $130K/yr

... decision intelligence, machine learning, reinforcement learning, agentic AI, and real-time ... You lead a small team of engineers and contractors while remaining deeply hands-on, building and ...

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

... intelligence, machine learning, reinforcement learning, and AI workloads. This is a hands-on ... Feature engineering - Develop and maintain Gold-layer feature tables and reusable data products ...

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

... intelligence, machine learning, reinforcement learning, and AI workloads. This is a hands-on ... Feature engineering - Develop and maintain Gold-layer feature tables and reusable data products ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Franklin, TN

Artificial Intelligence Machine Learning Engineer information

See Franklin, TN salary details

$31.1K

$127.2K

$191.1K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for artificial intelligence machine learning engineer in Franklin, TN is $127,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,100.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Franklin, TN look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Franklin, TN are:

What cities near Franklin, TN are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Franklin, TN with the most Artificial Intelligence Machine Learning Engineer job openings:

Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Franklin, TN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $127,162 per year, or $61.1 per hour.

Machine Learning Engineer at Gravity IT Resources Nashville, TN

Shell Lubricants Hub Hamburg

Nashville, TN • On-site

$110 - $150/hr

Other

Posted 28 days ago

Job description

Job Description

Machine Learning Engineer

Employment Type: Full-Time

Location: Nashville, TN (hybrid)

About the Role

We’re hiring a Maching Learning Engineer to design and deploy AI systems end-to-end — from data preparation and evaluation to model fine-tuning, inference, and agentic workflows. You’ll work closely with product and engineering teams to deliver reliable, cost-effective, and scalable LLM-powered solutions on AWS.

What You’ll Do
  • End-to-End GenAI Solutions: Scope problems, choose the right approach (prompt engineering, fine-tuning, agents), implement, evaluate, and deploy.
  • Data & SQL: Write efficient SQL for analytics and data prep; manage schemas and pipelines for model training and inference.
  • Model Training & Fine-Tuning: Run supervised fine-tuning (PEFT/LoRA/QLoRA), optimize prompts, and manage experiment tracking/evaluation.
  • Agentic Systems: Build agent workflows with tool use, memory, and safety/guardrails.
  • Inference & Deployment: Package services with Docker, optimize latency and cost (batching, caching, quantization), and deploy on AWS (ECS, EKS, SageMaker, Lambda with GPU acceleration).
  • MLOps & Observability: Set up CI/CD for models/prompts; maintain offline/online evaluation pipelines, monitoring, and rollback strategies.
  • Security & Compliance: Implement data governance, PHI/PII protections, and guardrails against prompt injection and unsafe outputs.
  • Cross-Functional Collaboration: Work with product managers and engineers to align GenAI capabilities with product goals; clearly document and communicate trade-offs.
  • Production Readiness: Lead conversations around scaling, monitoring, and maintaining GenAI systems in production environments.
Minimum Qualifications
  • 5+ years of Software/ML engineering experience, including 2+ years building and deploying GenAI/LLM systems.
  • MS/PhD in Computer Science, Data Science, or equivalent experience.
  • Strong SQL and Python skills with solid software engineering fundamentals.
  • Experience with agent frameworks (LangGraph, AutoGen, CrewAI) and tool-driven agents.
  • Hands‑on with deep learning (PyTorch or TensorFlow) and LLM fine‑tuning (SFT/PEFT like LoRA/QLoRA).
  • Production experience with Docker and AWS (ECS, EKS, SageMaker, Lambda, or GPU services).
  • Experience building scalable data and model pipelines for training and deployment.
  • Familiarity with prompt engineering, evaluation frameworks (LLM‑as‑judge, metrics), and offline test harnesses.
  • Understanding of security & compliance for sensitive data (e.g., PHI/PII).
  • Excellent problem‑solving, communication, and documentation skills.
Preferred Qualifications
  • Experience with inference optimization: quantization (bitsandbytes, GPTQ/AWQ), batching, caching, or vLLM.
  • Background in healthcare, including HIPAA compliance or medical data handling.
  • Experience with experiment tracking (MLflow, W&B), CI/CD for ML, and monitoring tools (Prometheus, Grafana).
  • Familiarity with major LLM APIs and open‑source models (OpenAI, Anthropic, Llama, Mistral).
Tech Stack
  • Languages: Python, SQL
  • DL/LLM: PyTorch, TensorFlow, Hugging Face, PEFT/TRL, vLLM
  • Data: Snowflake, Postgres
  • Cloud: AWS (ECS, EKS, SageMaker, Lambda)
  • MLOps: Docker, CI/CD, MLflow, or W&B
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