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Machine Learning Assistant Jobs in Florida (NOW HIRING)

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Help integrate tools such as LlamaIndex and LlamaParse into existing workflows * Assist in building ...

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Machine Learning Assistant information

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in Florida?

The most popular types of Machine Learning jobs in Florida are:

What are popular job titles related to Machine Learning Assistant jobs in Florida?

For Machine Learning Assistant jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Machine Learning Assistant jobs in Florida look for?

The top searched job categories for Machine Learning Assistant jobs in Florida are:

What cities in Florida are hiring for Machine Learning Assistant jobs?

Cities in Florida with the most Machine Learning Assistant job openings:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Florida as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 21% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

AI & Machine Learning Engineer

Cape Coral, FL • On-site

V-Work Infotech Solutions INC
See more jobs at V-Work Infotech Solutions INCexternal

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

Job description

Job Summary

We are seeking an experienced AI & Machine Learning Engineer with 10–15+ years of IT experience to design, develop, and deploy scalable AI and machine learning solutions. The ideal candidate will have expertise in Generative AI, Large Language Models (LLMs), deep learning, MLOps, cloud platforms, and production-grade AI systems. You will collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven products and intelligent automation solutions.

Key Responsibilities
  • Design, develop, and deploy machine learning and Generative AI solutions.
  • Build, fine-tune, and optimize Large Language Models (LLMs) and foundation models.
  • Develop Retrieval-Augmented Generation (RAG) applications.
  • Design AI architectures for enterprise-scale applications.
  • Build end-to-end ML pipelines from data ingestion to model deployment.
  • Develop AI-powered chatbots, virtual assistants, and recommendation systems.
  • Implement prompt engineering techniques to improve LLM performance.
  • Deploy models using MLOps best practices.
  • Optimize model accuracy, latency, scalability, and cost.
  • Work with structured, semi-structured, and unstructured datasets.
  • Collaborate with Data Engineering teams to build scalable AI platforms.
  • Monitor production AI systems and continuously improve model performance.
  • Ensure AI solutions follow security, governance, and responsible AI practices.
  • Mentor junior engineers and provide technical leadership.
Required Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • 10–15+ years of IT experience, with significant experience in AI/ML engineering.
  • Strong understanding of machine learning algorithms, deep learning, and Generative AI.
  • Experience delivering enterprise AI solutions.
  • Excellent communication and problem-solving skills.

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