2

Machine Learning Remote Internship Jobs in Florida

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

Remote Supervision Coordinator

Miami, FL ยท On-site +1

$55K - $64K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... JOB OVERVIEW The Remote Supervision Coordinator monitors and supports Serve's autonomous delivery ...

New

next page

Showing results 1-20

Machine Learning Remote Internship information

What types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

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

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

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

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What job categories do people searching Machine Learning Remote Internship jobs in Florida look for? The top searched job categories for Machine Learning Remote Internship jobs in Florida are:
What cities in Florida are hiring for Machine Learning Remote Internship jobs? Cities in Florida with the most Machine Learning Remote Internship job openings:
Google DialogFlow Engineer (Python) (No Visa Sponsorship)

Google DialogFlow Engineer (Python) (No Visa Sponsorship)

Miratech

Florida City, FL โ€ข On-site, Remote

Full-time

Medical

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Company Description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.
Miratech has coverage across ย 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

We are looking for a Google Dialogflow Engineer with Python experience to join our US-based healthcare client.

You will become part of the Bot Development team, contributing to the implementation of a new conversational AI solution across multiple cloud platforms. Your primary focus will be on building and enhancing a bot using Google Cloud Platform, with a strong emphasis on integrating LLM (playbook) capabilities within Dialogflow CX, alongside its core functionalities.

Work Authorization:ย youย must have valid authorization to work in the United Statesย at the time of application. Visa sponsorship is not available for this role.

Responsibilities:

  • Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI,ย  and Dialogflow CX.
  • Craft clean, efficient, and maintainable code adhering to industry best practices and standards.
  • Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem.
  • Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations.
  • Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs.
  • Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions.
  • Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement.
  • Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development.
Qualifications
  • 4+ years of hands-on experience with the Google Cloud Contact Center AI Bot framework.
  • Proficient in Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Learning (ML), and Conversational AI.
  • Extensive experience with the new LLM (playbook) feature in Dialogflow CX, as well as traditional Dialogflow CX functionalities.
  • Solid understanding of Google as a Software-as-a-Service platform.
  • Proven troubleshooting and analytical skills in complex, distributed environments.
  • Familiarity with SQL and experience working with relational databases.
  • Experience integrating web services into applications.
  • Proficient in Agile and Scrum development methodologies.
  • Bachelorโ€™s degree in a technology-related field or equivalent experience.

Nice to have:

  • Experience with programming languages such as JavaScript, Python, or Node.js.
  • Familiarity with automated testing practices.

We offer:

  • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.ย 
  • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.ย 
  • Work From Anywhere Culture: make the most of the flexibility that comes with remote work.ย 
  • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.ย 
  • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.ย 
  • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.ย 
  • Social Sustainability Values: join ourย sustainable business practicesย focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.ย 

*Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.