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Machine Learning Assistant Jobs in Florida (NOW HIRING)

Software Technology Inc

ML Engineer

Orlando, FL · On-site

Stay up-to-date with the latest research and technologies in anomaly detection and machine learning. * Assist in developing dashboards and tools for anomaly visualization and alerting.

Software Technology Inc

ML Engineer

Pensacola, FL · On-site

Stay up-to-date with the latest research and technologies in anomaly detection and machine learning. * Assist in developing dashboards and tools for anomaly visualization and alerting.

Elevance Health

AI Machine Learning Scientist

Tampa, FL · On-site +1

The AI Machine Learning Scientist is responsible for Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development and improvement. Plays a critical ...

Elevance Health

AI Machine Learning Scientist

Tampa, FL · On-site +1

The AI Machine Learning Scientist is responsible for Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development and improvement. Plays a critical ...

SynergisticIT

Machine Learning Engineer

Orlando, FL

We assist in filing for STEM extension and also for H1b and Green card filing to Candidates We also ... Machine learning Positions REQUIRED SKILLS • Bachelors degree or Masters degree in Computer ...

Barkera

A.I. Specialist (Intern)

Fort Lauderdale, FL · On-site

$14.25 - $19/hr

... machine learning models and algorithms to address specific business challenges and opportunities. - Assist in Implementing and optimizing AI solutions, ensuring scalability, reliability, and ...

Chewy

Associate Director, Data Science

Plantation, FL · On-site

... and machine learning capabilities across Customer Care. This leader will oversee a broad portfolio of initiatives spanning customer-facing AI experiences, agent-assist technologies, intelligent ...

Brillio

Senior Data Science Lead - R01566414

Tampa, FL · On-site

... machine learning * Location: Deerfield Beach, FL * Work Type: Hybrid min 3 days onsite per week ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Disys

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

Deploy the machine learning model and serve its outputs as RESTful API calls. Understand the ... Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency ...

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Machine Learning Assistant information

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.

Is ML a high paying job?

Machine Learning Assistant roles are generally well-paying compared to many entry-level positions, with salaries often reflecting the specialized skills in programming, data analysis, and familiarity with tools like Python and TensorFlow. Compensation varies based on experience, location, and industry, but the field is known for competitive salaries and growth opportunities.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI executives, senior machine learning engineers, or research directors, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These positions are usually found in large tech companies or specialized AI firms and may involve leadership, strategic planning, and cutting-edge research.

Which 3 jobs will survive AI?

For a Machine Learning Assistant, roles that require complex problem-solving, creativity, and human interaction are likely to persist, such as data scientists, AI ethics specialists, and domain-specific consultants. These jobs involve nuanced judgment, ethical considerations, and contextual understanding that AI tools currently cannot fully replicate.

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 jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior software engineers, data scientists, or freelance consultants with in-demand skills. These positions typically require extensive experience, advanced certifications, or freelance work with high hourly rates, and may involve project-based or contract work in industries like technology, finance, or consulting.

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

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 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:
Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Florida as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution.
ML Engineer

ML Engineer

Software Technology Inc

Orlando, FL • On-site

Other

Posted 11 days ago

Job description

ML Engineer

Location: CA, WA, FL, NY (Disney Hubs) – Onsite

Orlando, Florida

San Francisco, California

Seattle, Washington

New York, New York

Skills: Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science

Key Responsibilities:
  • Design and implement robust anomaly detection algorithms using statistical, machine learning, and deep learning techniques.
  • Develop scalable data pipelines to process and analyze large volumes of streaming and batch data.
  • Collaborate with cross-functional teams (engineering, data science, product) to define problem statements, gather requirements, and deliver ML solutions.
  • Perform exploratory data analysis (EDA) and feature engineering tailored for anomaly detection.
  • Train, evaluate, and optimize models to maximize detection accuracy and minimize false positives/negatives.
  • Monitor model performance and update models as needed in production environments.
  • Write clean, maintainable, and well-documented code following best practices.
  • Stay up-to-date with the latest research and technologies in anomaly detection and machine learning.
  • Assist in developing dashboards and tools for anomaly visualization and alerting.

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