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Python Ml Developer Jobs in Tennessee (NOW HIRING)

CGI Inc.

AI/ML Engineer

Knoxville, TN · On-site

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 ...

omnia

AI/ML Engineer

Franklin, TN

$113K - $135K/yr

Job Title Senior Software Engineer (Intelligent Data Systems) Location Franklin, TN Candidates must ... Python Proficiency: Expert-level proficiency in Python, with experience using it for both system ...

Ztek Consulting INC

AI/ML Engineer

Franklin, TN · On-site

AI/ML Engineer Duration:12 months Location: Onsite at Franklin, TN Work Type: Contract - W2 Rate ... Design, develop, and maintain scalable backend systems using Python frameworks (FastAPI, Django ...

OMNIA Partners LLC

AI/ML Engineer

Franklin, TN · On-site

$113K - $135K/yr

Job Title Senior Software Engineer (Intelligent Data Systems) Location Franklin, TN Candidates must ... Python Proficiency: Expert-level proficiency in Python, with experience using it for both system ...

Staffingine LLC

AI/ML Tech lead

Nashville, TN · On-site

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 ...

Palnar

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 ...

Cliftonlarsonallen

Lead ML Ops Engineer

Nashville, TN

$99K - $130K/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 ...

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ... Strong programming skills in Python, with advanced SQL experience and data quality validation logic.

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ... Strong programming skills in Python, with advanced SQL experience and data quality validation logic.

Intellivo

Senior Data Engineer

Memphis, TN

$95K - $129K/yr

This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ... Strong programming skills in Python, with advanced SQL experience and data quality validation logic.

Intellivo

Senior Data Engineer

Memphis, TN · On-site

$95K - $129K/yr

This person will work closely with Data Science, ML Engineering, and Software Engineering teams to ... Strong programming skills in Python, with advanced SQL experience and data quality validation logic.

Pwc

GenAI Python Systems Engineer-Manager

Nashville, TN · On-site

$99K - $232K/yr

... and ML solutions to drive innovation and enhance business processes. Your work will involve ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

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Python Ml Developer information

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 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 are the key skills and qualifications needed to thrive as a Python ML Developer?

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 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 are popular job titles related to Python Ml Developer jobs in Tennessee? For Python Ml Developer jobs in Tennessee, the most frequently searched job titles are:
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:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Tennessee as of July 2026, with employment types broken down into 83% Full Time, 5% Part Time, 1% Temporary, and 11% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Biometrics AI/ML Engineer

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 120 rated laboratories

Job description

Requisition Id 16775
Overview:
Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. The Human Analysis and Biometrics (HAB) group at Oak Ridge National Laboratory (ORNL) conducts research, development, and deployment of human and group recognition technologies to address national security and other worldwide challenges.
We are seeking a technical contributor in AI/ML research to build models and pipelines, design and implement evaluations and benchmarks, and disseminate results through publications and briefings. You will partner with multidisciplinary researchers across ORNL and external collaborators to enable data-driven decision-making in a variety of contextsThis position resides in the Human Analysis and Biometrics Group in the Advanced Intelligent Systems Section, Cyber Resillience and Intelligence Division, National Security Sciences Directorate, at Oak Ridge National Laboratory (ORNL).
Major Duties/Responsibilities:
  • Contributes to requirements definition, design, and development of software applications in supporting the needs of projects as directed by the Principal Investigator and/or software team lead.
  • Develop AI/ML models and systems for diverse data and mission contexts
  • Conduct independent and collaborative research in AI/ML, with a focus on multimodal learning, computer vision, and scientific machine learning
  • Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and predictive modeling
  • Design and implement reproducible pipelines for data acquisition, feature engineering, model training, evaluation, packaging, and deployment
  • Help the group envision, design, develop, test, and deploy human analysis and biometric recognition tools and prototypes.
  • Conduct rigorous statistical analysis to aid in data exploration and interpretation
  • Benchmark and T&E AI/ML systems against performance metrics and robustness; define and implement measures of success for deployment-ready systems
  • Disseminate results via technical reports, publications, presentations, and sponsor briefings
  • Visualize and explain complex data and model results to technical and non-technical audiences
  • Contribute to research proposals and statements of work
  • Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success

Basic Qualifications:
  • A BS degree in computer science, computational science, data science, artificial intelligence, or related field.
  • Experience with agile software development methodologies such as SCRUM.
  • Strong foundation in machine learning, deep learning, or computer vision
  • Strong Python development skills and familiarity with git, CLI tooling, VS Code
  • Proficiency with PyTorch and/or TensorFlow, along with other Python ML development packages; experience building, training, evaluating ML/DL models
  • Experience implementing reproducible data/model pipelines and documenting assumptions, parameters, metrics, and results

Preferred Qualifications:
  • Experience with predictive modeling and generative AI/LLMs, including RAG systems
  • Familiarity with LLM inference servers (e.g., vLLM, Ollama)
  • Familiarity with high-performance computing (HPC) and distributed training environments
  • Hands-on benchmarking/Test & Evaluation of AI systems
  • Interest in AI applications for safety, risk modeling, or scientific workflows
  • Excellent written and oral communication skills
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Special Requirements:
  • Q clearance: This position requires the ability to obtain and maintain a clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.

About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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