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Python Ml Developer Jobs in Tennessee (NOW HIRING)

AI/ML Engineer Experience: 6+ Years Location: Franklin, TN - Onsite We are looking for an ... Strong experience in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn * Hands-on ...

AI/ML Engineer Category: Software Development/ Engineering Main location: United States, Tennessee ... React or Angular; Node.js/Python/Java back ends; REST/GraphQL. o DevOps/MLOps: Docker, Kubernetes ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

AIML * Expert in Python * LLM Concepts * RAG Architecture * MS OpenAI * GPT40 41 * O3 Mini ... Prompt Engineering & RAG,Retrieval Augmented Generation,Fine Tuning Large Language Models,Prompt ...

AI/ML Architect

Nashville, TN · On-site

$61.50 - $79.25/hr

Proven experience as an AI/ML Architect with a focus on Python-based solutions. * Strong expertise ... Proficiency in data processing, feature engineering, and model deployment. * Excellent ...

Lead ML Ops engineer

Nashville, TN · On-site

$99K - $130.40K/yr

Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions ... Advanced proficiency in Python and architectural mastery of objectoriented design across ...

Senior Machine Learning Engineer

Nashville, TN

$100.90K - $138.60K/yr

This role will work with our data in Snowflake, develop models in Python, collaborate with ML engineers to structure data for consumption, and coordinate with Product and business unit leaders to ...

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Python Ml Developer information

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Tennessee look for? The top searched job categories for Python Ml Developer jobs in Tennessee are:
Infographic showing various Python Ml Developer job openings in Tennessee as of May 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, 2% Contract, and 2% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

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Posted 14 hours ago


Job description

Job Title: AI/ML Engineer
Experience: 6+ Years
Location: Franklin, TN - Onsite

Job Description:
We are looking for an experienced AI/ML Engineer with 10 years of overall IT experience and strong expertise in designing, developing, and deploying machine learning models. The ideal candidate should have hands-on experience in building scalable AI solutions and working with large datasets to drive business insights.

Key Responsibilities:

  • Design, develop, and deploy machine learning and deep learning models
  • Analyze large datasets to extract meaningful insights and improve model performance
  • Build and optimize data pipelines for ML workflows
  • Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions
  • Implement and maintain production-level ML systems
  • Monitor model performance and retrain models as needed
  • Stay updated with the latest advancements in AI/ML technologies

Required Skills:

  • Strong experience in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn
  • Hands-on experience with NLP, Computer Vision, or Predictive Analytics
  • Experience with data preprocessing, feature engineering, and model evaluation
  • Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) for ML deployment
  • Experience with SQL and handling large datasets
  • Familiarity with MLOps tools and frameworks

Preferred Qualifications:

  • Experience with Generative AI / LLMs (OpenAI, Hugging Face, etc.)
  • Knowledge of Docker, Kubernetes, and CI/CD pipelines
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills