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Medical Machine Learning Internship Jobs in Florida

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition ... Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers ...

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Medical Machine Learning Internship information

What kinds of projects and responsibilities can I expect during a Medical Machine Learning Internship?

As a Medical Machine Learning Intern, you'll typically work on real-world datasets to develop, test, and refine machine learning models aimed at improving healthcare outcomes. Your daily tasks may include data preprocessing, feature engineering, model selection, and performance evaluation under the guidance of experienced data scientists or clinicians. Collaboration is key, as you'll often work with multidisciplinary teams, including software engineers, clinicians, and researchers. This hands-on experience allows you to gain practical skills and contribute to impactful projects that can enhance patient care or medical research.

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

To thrive as a Medical Machine Learning Intern, you need a solid background in statistics, programming (Python or R), and foundational knowledge of machine learning algorithms, typically supported by coursework or a relevant degree in computer science, engineering, or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience working with medical datasets or healthcare IT systems are highly valued. Strong analytical thinking, attention to detail, and effective communication skills will help you collaborate with interdisciplinary teams and present findings clearly. These skills are crucial for developing accurate, impactful models that address real-world healthcare challenges and ensure patient safety.

What is a Medical Machine Learning Internship?

A Medical Machine Learning Internship is a temporary position where students or recent graduates work on projects that apply machine learning techniques to healthcare and medical datasets. Interns typically collaborate with data scientists, clinicians, and researchers to develop algorithms that can assist in diagnosing diseases, predicting patient outcomes, or improving healthcare processes. This role provides hands-on experience with real-world medical data, exposure to regulatory considerations, and the opportunity to contribute to impactful healthcare innovations. Such internships help interns build technical and domain-specific skills, preparing them for future careers in medical data science.
What job categories do people searching Medical Machine Learning Internship jobs in Florida look for? The top searched job categories for Medical Machine Learning Internship jobs in Florida are:
Infographic showing various Medical Machine Learning Internship job openings in Florida as of July 2026, with employment types broken down into 2% Internship, 73% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution.

Machine Learning Engineer

Tata Consultancy Service Limited

Sunrise, FL โ€ข On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Role - Machine Learning Engineer
Experience Required -8+ Years
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
Must Have Technical/Functional Skills:
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
โ€ข Implement short-term and long-term memory strategies for LLM-based systems.
โ€ข Optimize prompts, retrieval pipelines, and orchestration logic.
โ€ข Collaborate with product and platform teams to deliver scalable AI solutions.
Required Qualifications
โ€ข Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
โ€ข Hands-on experience with LangChain and/or LangGraph.
โ€ข Solid understanding of LLM memory architecture and state management.
โ€ข Proficiency in Python and ML engineering best practices.
Nice to Have
โ€ข Experience with GCP services (e.g., Vertex AI, BigQuery, GCS).
โ€ข Experience deploying ML/GenAI systems in production environments.
โ€ข data scientist
โ€ข Can do ML model
Roles & Responsibilities
โ€ข Design, develop, and deploy GenAI applications using LLMs.
โ€ข Build and implement agentic workflows using LangChain/LangGraph.
โ€ข Develop ML models and production-ready AI solutions.
โ€ข Implement and manage LLM memory and state management strategies.
โ€ข Optimize prompts, retrieval pipelines, and orchestration workflows.
โ€ข Collaborate with product and platform teams to deliver scalable AI solutions.
โ€ข Deploy, monitor, and maintain AI/ML systems in production environments.
โ€ข Evaluate and integrate open-source and proprietary LLMs.
Base Salary Range : $90,000 to $110,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options : Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.