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Applied Machine Learning Intern Jobs in Tennessee

OMNIA Partners LLC

AI/ML Engineer RFP Radar

Franklin, TN · On-site

$103K - $141K/yr

Applied Machine Learning: Practical experience integrating Machine Learning into production software workflows. You don't need to be a research scientist, but you must know how to apply standard ML ...

Relativity

Principal Applied Scientist

Nashville, TN · On-site +1

$134K - $202K/yr

Department Description The AI and Applied Sciences department at Relativity drives innovation by ... Required Skills Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python ...

Thompson Machinery

ThinkBIG Intern Technician

Memphis, TN · On-site

$16.25 - $21.25/hr

At Thompson Machinery, we've been powering progress since 1944. We are the go-to Caterpillar dealer ... Upon successful completion of the two-year program, students earn an Associate Degree in Applied ...

Federal Express Corporation

Data Scientist II

Memphis, TN · On-site +1

$13K/mo

... Applied Mathematics, or a related quantitative field. Minimum Experience: At least two (2) years of professional experience applying data science (e.g., machine learning, artificial intelligence ...

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Applied Machine Learning Intern information

What is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

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Infographic showing various Applied Machine Learning Intern job openings in Tennessee as of July 2026, with employment types broken down into 77% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
AI/ML Engineer RFP Radar

AI/ML Engineer RFP Radar

OMNIA Partners LLC

Franklin, TN • On-site

$103K - $141K/yr

Full-time

Re-posted 9 days ago

Job description

OMNIA Partners has become the largest and most experienced purchasing organization for public and private sector markets by delivering unparalleled scale and solutions. Through further organic growth and strategic acquisitions, OMNIA Partners will continue to drive economies of scale to execute more contracts, in more verticals, with transparent, value-driven pricing for our membership of companies. Our success and growth have been unparalleled in this space.
At the core of our success is a high energy, talented staff with diverse skills and a unified focus on delivering value and an emphasis on creativity, strategic thinking, and execution.
Job Title
Senior Software Engineer (Intelligent Data Systems)
Location
Franklin, TN
Candidates must be legally authorized to work in the U.S. without sponsorship, now and in the future.
Open Position Summary - Senior Software Engineer
OMNIA Partners has become the largest and most experienced purchasing organization for public and private sector markets by delivering unparalleled scale and solutions. Through further organic growth and strategic acquisitions, OMNIA Partners will continue to drive economies of scale to execute more contracts, in more verticals, with transparent, value-driven pricing for our membership of companies. Our success and growth have been unparalleled in this space. OMNIA Partners is at the forefront of leveraging AI and data-driven solutions to enhance business operations and customer insights. We are committed to using cutting-edge AI/ML capabilities to improve data quality, automation and overall efficiency across the organization.
We are hiring a Senior Software Engineer to take the lead on designing and building the next generation of our data-driven products. In this role, you will bridge the gap between data science concepts and robust software engineering. You will be responsible for taking innovative ideas - often starting as proofs-of-concept - and architecting them into highly scalable, production-grade systems that drive immediate business impact.
Your primary focus will be building intelligent automation engines that can ingest vast amounts of unstructured data from the outside world, make autonomous decisions about that data using AI/ML and route actionable intelligence to our sales teams and partners. You will work closely with senior leadership to define technical strategy and join a talented team of engineers and architects dedicated to harnessing the power of AI for operational efficiency and growth.
Position Responsibilities:
  • System Architecture & Scaling: Lead the architectural design and implementation of complex backend systems, taking early-stage concepts and maturing them into resilient, high-load production environments.
  • Intelligent Data Acquisition: Develop robust strategies and systems for acquiring large volumes of data from diverse, often unstructured external sources, ensuring high data quality and reliability.
  • Applied AI/ML Integration: Design pipelines that integrate practical AI/ML models (such as text classification, NLP or scoring algorithms) to automate complex decision-making processes and enrich incoming data streams.
  • Data Pipeline Engineering: Build high-throughput data pipelines that ingest, validate, process and route data efficiently to downstream applications, data warehouses and third-party ecosystems.
  • Database Strategy: Optimize data storage and retrieval strategies for large-scale datasets across both relational databases and modern data warehouses.
  • Technology Evaluation: Act as a technical leader by staying current with emerging tools in data engineering and applied AI, recommending adoption where it enhances our capabilities.

Required Education and Skills:
  • Software Engineering Foundations: 5+ years of backend software engineering experience, with a strong track record of building data-intensive applications.
  • Python Proficiency: Expert-level proficiency in Python, with experience using it for both system building and data processing.
  • Handling Unstructured Data: Demonstrated experience building systems that interact with, ingest and structure messy or complex external data sources at scale.
  • Applied Machine Learning: Practical experience integrating Machine Learning into production software workflows. You don't need to be a research scientist, but you must know how to apply standard ML libraries (e.g., scikit-learn, spaCy, or similar) to solve practical problems like classification, entities extraction or scoring.
  • Database Expertise: Strong understanding of data modeling and performance tuning in relational databases and cloud data warehouses (preferably Snowflake).
  • API & Integration: Deep experience designing and consuming complex APIs to connect internal services with third-party data providers.
  • Cloud-Native Mindset: Experience building and deploying applications in cloud environments (AWS, GCP or Azure).

Preferred Qualifications:
  • Experience with containerized deployments (Docker/Kubernetes) and modern orchestration tools (e.g., Airflow, Celery).
  • Bachelor's or master's degree in computer science or a related technical field.

OMNIA Partners provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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