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Internship Full Stack Machine Learning Engineer Jobs in Homestead, FL

Senior Full-Stack Engineer | Reports to: CMTO | Location: Remote Job Overview: The Flowery (New York) is seeking a backend-leaning Senior Full-Stack Engineer to take ownership of our customer-facing ...

Senior Full-Stack Engineer | Reports to: CMTO | Location: Remote Job Overview: The Flowery (New York) is seeking a backend-leaning Senior Full-Stack Engineer to take ownership of our customer-facing ...

seeking an experienced Lead Full Stack .NET Developer. As a Tech Lead, you will be leading a team of developers who are responsible for development, support, maintenance and implementation of a ...

AI Solutions Engineering Delivery Lead

Miami, FL · On-site

$98K - $129K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... full-stack AI solutions. As a senior technical leader, you will leverage deep technical ...

As a Full Stack Engineer Manager in Deloitte Cyber's Digital Trust & Privacy practice, you will operate at the intersection of client-facing advisory, product engineering, and hands-on technical ...

As a Full Stack Engineer Senior Consultant in Deloitte Cyber's Digital Trust & Privacy practice, you will operate at the intersection of client-facing advisory, product engineering, and hands-on ...

Full Stack Software Developer Halborn Inc Miami, Florida, United States About this position About Halborn Inc Our mission is to provide value-add security services and products to the world's most ...

Showing results 21-40

Internship Full Stack Machine Learning Engineer information

See Homestead, FL salary details

$40.9K

$123.8K

$175K

How much do internship full stack machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for internship full stack machine learning engineer in Homestead, FL is $123,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $145,200.00 per year, depending on experience, location, and employer.

What is an internship full stack machine learning engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What do internship full stack machine learning engineers do?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What skills and qualifications are needed to thrive as an internship full stack machine learning engineer?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

Full Stack Developer

Miami, FL

Contact Government Services, LLC
Public Administration • 11 - 50 employees

$134K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Full Stack Developer
Employment Type: Full Time, Mid-level
Department: Information Technology
 
CGS is seeking an experienced, resourceful, and inventive Full Stack Web Developer to join our team. This role will perform software application development in support of an enterprise-wide data inventory effort. This role will work across multiple teams to develop an integrated solution.
 
CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities.
 
Skills and attributes for success:
-        Perform software application development.
-        Develop software application tests and testing strategies.
-        Script solutions to automate manual processes.
-        Follow and instruct others on version control processes.
-        Develop solutions to strengthen the security in and around applications.
-        Leverage application metrics to inform technical and business decisions.
-        Analyze industry specific requirements/technologies and provide insight.
 
Qualifications:
-        11 years' relevant experience.
-        A Bachelor's degree in a related field. 
-        U.S. Citizenship is a requirement.
-        A passion for Developing content rich web applications, APIs, services and scripts. 
-        Experience working with Agile methodology and phase-based delivery methods.
-        Experience with JavaScript libraries such as Angular, Node.js, TypeORM
 
Ideally, you will also have:
-        Active DHS clearance is a plus.
-        Hands on experience with both compiled and interpreted languages
-        Knowledge of how to deploy an application.
-        Confidence following testing, security, and configuration management best practices.
-        Experience with front and backend software development.
-        Familiarity with Unix based command line.
-        An understanding of database structure and integration.
-        Experience with Continuous Integration / Continuous Deployment strategies.
-        High degree of communication skills both oral and written.
-        Familiarity with Elasticsearch, SQL, Neo4j, Nest.js, Kibana, Matomo, Marvel, Forever, Shibboleth/SAML, Stash, Git, BitBucket, Grunt, Selenium, Linux Admin.
 
Our Commitment:
Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems.
 
For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work.
 
Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come.
 
We care about our employees. Therefore, we offer a comprehensive benefits package.
-         Health, Dental, and Vision
-         Life Insurance
-         401k
-         Flexible Spending Account (Health, Dependent Care, and Commuter)
-         Paid Time Off and Observance of State/Federal Holidays
 
Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
 
Join our team and become part of government innovation!
Explore additional job opportunities with CGS on our Job Board:
https://cgsfederal.com/join-our-team/
For more information about CGS please visit: https://www.cgsfederal.com or contact:
Email: [email protected]
 
#CJ
$134,437.33 - $182,450.66 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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