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Machine Learning Developer Intern Jobs in Memphis, TN

... machine learning models * Developing, analyzing, and organizing data mapping, diagrams, and ... Master's Degree in Computer Science, Data Science, Engineering, Mathematics, Business Management or ...

Application Developer

Memphis, TN · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Back End Developer

Memphis, TN · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Backend Developer

Memphis, TN · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Software Developer

Memphis, TN · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Work as part of a team to develop and deploy analytical and machine learning models (with general understanding of data engineering and ML Ops). * Independently works on analyzing and interpreting ...

DevOps Engineer

Memphis, TN · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Work as part of a team to develop and deploy analytical and machine learning models (with general understanding of data engineering and ML Ops). * Independently works on analyzing and interpreting ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

... or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning techniques and ...

Full Stack Developer

Memphis, TN · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering, Azure DevOps, GitHub, and SonarQube * Experience with continuous integration/continuous deployment and ...

AI/ML Engineer Location: Dallas, TX Preferred, Memphis, TN is acceptable- 100% Onsite- Duration: 6 ... Strong proficiency in Python Design, build, train, and optimize machine learning and deep learning ...

Senior AI/ML Engineer Location: Memphis, TN / Dallas, TX (Onsite) Position: (C2C Role) Duration ... and optimize machine learning and deep learning models Implement AI solutions using Python and ...

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Machine Learning Developer Intern information

See Memphis, TN salary details

$24.8K

$41.4K

$85.5K

How much do machine learning developer intern jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning developer intern in Memphis, TN is $41,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

AI Expert

AI Expert

ECS

Memphis, TN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Everorth ECS is seeking a AI Expert to work hybrid in our Memphis, TN office or fully remote.
Tasks to be Performed:
  • Analyzing user/business data requirements and determining AI needs
  • Determining the functionality of AI applications and performing predictive modeling over time
  • Maintaining documentation for data analysis and machine learning models
  • Developing, analyzing, and organizing data mapping, diagrams, and flowcharts for AI development
  • Translating technical AI specifications into clear non-technical requirements
  • Developing and documenting AI features and predictive models with performance metrics
  • Assisting team with AI cost estimates and implementation
  • Implementing best practices for AI scalability, supportability, maintenance, and performance
  • Creating documentation for existing and future AI interfaces
  • Developing AI models and algorithms for predictive analytics
  • Applying sound analysis, business practices, and scientific expertise to solve a wide variety of customer problems
  • Applying expert knowledge to determine accuracy and reasonableness of data
  • Participating in business requirement gathering sessions, gathering user data requirements, understanding the user requirements, and assisting in the reconciliation of technical and business requirements
  • Ensuring that all solutions follow security and compliance controls
  • Mentoring or training other team members and sharing their expertise within and across contracts, organizational boundaries and with Customers

  • Master's Degree in Computer Science, Data Science, Engineering, Mathematics, Business Management or related technical discipline preferred (equivalent work experience in AI may substitute for a degree)
  • US citizen or Green Card Holder and must be able to obtain a Public Trust clearance.
  • 12+ years of experience in information technologies, data analysis, predictive modeling, and machine learning
  • Proven ability to assess data analysis needs and translate them into AI solutions
  • Experience with AI applications and machine learning models
  • Proficiency with data analysis tools and techniques
  • Experience with AI methodologies such as neural networks, decision trees, and regression models
  • Knowledge/experience with AI frameworks such as TensorFlow, scikit-learn, or PyTorch
  • Experience with AI deployment and productionizing models
  • Familiarity with Agile methodologies and working with cross-functional teams
  • Extensive understanding of Relational and Non-relational database. ( Postgres, Oracle, MongoDB , DynamoDB etc.)
  • Proficiency in ETL / Batch processing using Python, Java or Go-lang.
  • Experience in Integration with AWS cloud.
  • Experience in RAG pipelines for LLM-based applications and embedding models.
  • This position is suitable for an AI expert with extensive experience in data analysis, predictive modeling, and machine learning.
  • The role requires expertise in developing AI solutions, building predictive models, and applying machine learning algorithms to drive business insights and decision-making.