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Python Ml Developer Jobs in Tennessee (NOW HIRING)

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 ...

Position Title: Sr. AI/ML Engineer Job Location: 500 11th Avenue North, Suite 850, Nashville, TN ... Programming languages (Python, Java, or C++); Managing large datasets and complex data pipelines;

AI/ML Engineer Duration:12 months Location: Onsite at Franklin, TN Work Type: Contract - W2 Rate ... Required Skills: 1. Strong Python Backend Development • Expertise in FastAPI / Django / Flask • ...

AI/ML Engineer RFP Radar

Franklin, TN

$103K - $141K/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 ...

AI/ML Engineer RFP Radar

Franklin, TN · On-site

$103K - $141K/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 ...

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 ...

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 ...

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.

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.

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.

Senior Data Engineer

Memphis, TN · On-site

$103K - $139K/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.

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 ...

Google Data Specialist

Morristown, TN · On-site

$70K - $196K/yr

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ... Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred). * Bachelor ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

Google Data Specialist

Nashville, TN · On-site

$70K - $196K/yr

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ... Minimum of 2 years of experience with Python or AI or GenAI tools (Vertex AI preferred). * Bachelor ...

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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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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 July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 2% Temporary, and 10% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
AI/ML Engineer

AI/ML Engineer

CGI Inc.

Knoxville, TN • On-site

Full-time

Retirement, PTO

Re-posted 22 days ago


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

134th of 210 rated it services


Job description

AI/ML Engineer
Category: Software Development/ Engineering
Main location: United States, Tennessee, Knoxville
Alternate Location(s): United States, Louisiana, Lafayette
United States, Texas, Belton
United States, Virginia, Lebanon
United States, Virginia, Fairfax
Position ID:J0326-0098
Employment Type: Full Time
Position Description:
CGI is actively seeking a Senior AI/ML and Emerging Tech Expert to join our Emerging Technologies Practice and lead the design and delivery of AI driven applications across our Federal Portfolio. You will work end to end-from proofs of concept to production-partnering with solution architects, data scientists, and engineering teams to turn ideas into scalable, secure solutions. This role blends full stack engineering with modern AI/ML, integrating generative AI and advanced analytics within Azure, AWS, and GCP to achieve tangible business outcomes. If you are a creative problem solver who thrives in fast moving, highly collaborative environments, come help us push the boundaries of AI and emerging technologies.
This position is located in our Knoxville, TN, Lafayette LA, Belton TX, Lebanon VA, Fairfax VA office; however, a hybrid working model is acceptable.
Your future duties and responsibilities:
Role Duties
. AI/ML Solutioning & Delivery
o Design, build, and deploy AI/ML solutions and generative AI applications; architect complex AI pipelines.
o Harness large datasets; conduct data mining/analysis; design algorithms and simulations; optimize models for real world performance and cost.
. Full Stack Engineering
o Implement front end (HTML/CSS/JavaScript; React or Angular) and back end services (Python/Flask/Django; Node.js; Java) that integrate AI capabilities.
o Develop robust APIs and microservices; ensure seamless functionality and exceptional UX across platforms.
. Cloud & DevSecOps
o Deliver against strategic roadmaps for AI and Analytics architectures across Azure, AWS, GCP.
o Package and deploy via containerization (Docker, Kubernetes); automate CI/CD (Jenkins, GitLab) and IaC (Terraform, AWS CloudFormation).
o Establish best practices and patterns for AI & analytics; implement monitoring, observability, and model governance.
. Graph Database Development
o Design, implement, and optimize GraphDB solutions (e.g., Neo4j, Amazon Neptune) for AI-driven applications.
o Integrate graph-based data models into AI pipelines for knowledge graphs, entity relationships, and semantic search.
. Collaboration & Client Engagement
o Work closely with data scientists and software engineers to integrate AI into enterprise systems.
o Coordinate with client and engineering teams to build, monitor, and maintain solutions.
o Support client development opportunities and contribute to thought leadership and demos/POCs
Required qualifications to be successful in this role:
. US Citizenship is required per contract
. Ability to obtain a Secret clearance
- Education
o Bachelor's and 8 yrs exp required in Computer Science, Software Engineering, Artificial Intelligence & Machine Learning, related field.
- Experience
o 5+ years designing, developing, and deploying AI/ML or advanced software solutions.
o Proven experience designing and integrating AI/GenAI into products and enterprise applications.
o Demonstrated success delivering full stack solutions that embed AI capabilities.
o Hands-on experience with GraphDB engineering and development (Neo4j, Amazon Neptune, or similar).
- Technical Skills
o Programming: Python (expert) plus Java
o ML/Deep Learning: TensorFlow, PyTorch; model training, tuning, serving, and monitoring.
o Generative AI: hands on with LLMs; prompt engineering; fine tuning; RAG patterns; vector databases.
o Web & APIs: HTML/CSS/JS; React or Angular; Node.js/Python/Java back ends; REST/GraphQL.
o DevOps/MLOps: Docker, Kubernetes, Terraform, AWS CloudFormation; CI/CD with Jenkins/GitLab/Bitbucket; testing frameworks; package managers.
o Cloud: Production experience on Azure, AWS, and GCP.
o Data: SQL and NoSQL databases; GraphDB; data pipelines; feature stores.
- Professional
o Excellent problem solving, verbal and written communication.
o Ability to work independently and within agile teams.
o Strong collaboration skills across cross functional stakeholders
Desired qualifications/non-essential skills required:
. Advanced degree (Master with 6 years exp /PhD with 3 years exp) in AI/ML or related field.
. Certifications in Azure/AWS/GCP; Kubernetes, Terraform, or ML specific certifications are a plus.
. Deep proficiency in Generative AI, including RAG, LLM orchestration frameworks, and model lifecycle governance.
. Portfolio of successful AI projects; evidence of thought leadership (POCs, publications, OSS contributions).
. Familiarity with federal sector standards (e.g., secure SDLC, data governance, compliance frameworks) and industry AI use cases.
. Strong client facing skills: solution storytelling, demos, and executive level presentations
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $102,000.00 - $251,100.00.
CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
. Learning opportunities and tuition assistance
. Wellness and Well-being programs
#CGIFederalJob
#LI-JK6
Skills:
  • Artificial Intelligence
  • Generative AI
  • Machine Learning
  • Python (Anaconda) AI/ML
  • Retrieval-Augmented Gen.(RAG)

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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