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Machine Learning Developer Intern Jobs in Memphis, TN

AutoZone

Lead Data Scientist

Memphis, TN · On-site

Work with software developers and machine learning engineers to implement models into production. * Project Management : Develop and manage project plans, ensuring timely delivery and alignment with ...

Deloitte

Agentic Delivery Engineer

Memphis, TN · On-site

Supporting the implementation of artificial intelligence / machine learning (AI/ML), analytics, and automation solutions within client environments * Participating in prompt engineering, retrieval ...

CTI

Junior AI Developer

Memphis, TN · On-site +1

$60K - $78K/yr

Training and Experience: 0-2 years of professional experience in software development, data engineering, machine learning, or backend development. General Skills: Must have strong software ...

Varsity Tutors

Python Tutor

Memphis, TN · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Deloitte

Agentic Delivery Engineer

Memphis, TN · On-site

Supporting the implementation of artificial intelligence / machine learning (AI/ML), analytics, and automation solutions within client environments * Participating in prompt engineering, retrieval ...

Varsity Tutors

Data Science Tutor

Memphis, TN · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

DataAnnotation

Software 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 ...

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All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Memphis, TN

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.

Machine Learning Developer Intern jobs near you
Cloud Security Manager - Azure Infrastructure & AI

Cloud Security Manager - Azure Infrastructure & AI

Deloitte

Memphis, TN • On-site

$63.75 - $84.75/hr

Full-time

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

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading firm in cybersecurity, helping businesses navigate the complexities of the threat landscape. They are seeking a Cloud Security Senior Manager specializing in Azure Infrastructure and AI to lead security teams and projects, design security controls, and develop governance frameworks for Azure AI Services.
Responsibilities:
• Leading Microsoft security teams for large, complex client engagements focused on Microsoft Azure and artificial intelligence (AI) security services, including strategy, design, implementation, and adoption
• Leading multiple Azure and AI security projects in project leader and program manager roles, overseeing onsite and offshore engineers and architects to deliver quality outcomes aligned to client objectives
• Designing and implementing security controls for Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Cognitive Services, and AI Studio, with protections embedded from development through deployment
• Developing AI security playbooks and governance controls covering encryption, access control, data integrity, model scanning, model governance, data security, and secure deployment practices across Azure environments
• Building and automating secure cloud and machine learning operations (MLOps) pipelines using tools such as Azure Policy, Azure Resource Manager (ARM), Bicep, and Terraform to establish consistent security guardrails across Azure platforms and AI services
• Leading business development, client relationship management, technical health checks, proof of concept efforts, operational transitions, thought leadership, and talent development activities within the Microsoft Azure and AI security space
Qualifications:
Required:
• 10+ years of experience in technical consulting, client problem solving, and architecting and designing security solutions with Microsoft Azure and AI security technologies, including Microsoft Entra ID, Active Directory, Microsoft Defender for Office 365, Microsoft Defender for Cloud, Microsoft Defender for Cloud Apps, Microsoft Defender for Endpoint, Microsoft Purview, Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Security Copilot; and experience leading project scope, pricing, and delivery across multiple concurrent proposals and projects
• 10+ years of experience in enterprise security operations, enterprise security architecture, or infrastructure operations, plus 3+ years of experience in consulting leadership roles focused on Microsoft security technologies
• 5+ years of experience designing, implementing, or assessing security controls in Microsoft Azure environments, including Azure AI Services
• 5+ years of experience with identity and access management, network security, data protection, logging, monitoring, vulnerability management, and infrastructure as code in cloud environments
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or a related field
• Master's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or Business Administration
• Azure certifications, including Azure Security Engineer Associate or Azure Solutions Architect Expert
• Experience with Microsoft Defender, Microsoft Sentinel, and Microsoft Entra ID
• Experience with Azure OpenAI Service, Azure Machine Learning, Cognitive Services, or AI Studio
• Experience with Microsoft Copilot or GitHub Copilot security controls
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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