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Machine Learning Assistant Jobs in Florida (NOW HIRING)

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

$137.50K - $225K/yr

In this role, you will lead a team of Data Scientists and Machine Learning Engineers. You will collaborate with multi-functional partners to build, develop, and deploy machine learning and data ...

SynthBee, Inc.

Cloud Engineer

Pembroke Pines, FL · On-site

$52.50 - $70.25/hr

... machine learning models, and collaborating with teams to enhance data-intensive applications. Responsibilities : • Assist in cloud system upgrades, security patches, and infrastructure management ...

Disys

Bigdata Engineer

Tampa, FL · On-site

$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 ...

Disys - Oak Brook

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... tools to assist Analytics in ETL, retrospective testing, efficiency, • repeatability, and R&D ...

The Voleon Group

Executive Assistant

Miami, FL · On-site

$80K - $90K/yr

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to ... As an Executive Assistant in our newly established Miami office, you will provide dedicated support ...

New

SynthBee, Inc.

ML Applied Scientist

Pembroke Pines, FL · On-site

Responsibilities : • Contribute as required to the development of SynthBee's machine learning ... Assist in the architectural design of systems, working closely with data engineers and software ...

Deloitte

AI Data Engineer Manager

Miami, FL · On-site

... machine learning models and large language models. • Conduct research to provide technical ... capabilities that assist with data ingestion, feature engineering, data management, and ...

Deloitte

AI Data Engineer Manager

Tampa, FL · On-site

... machine learning models and large language models. • Conduct research to provide technical ... capabilities that assist with data ingestion, feature engineering, data management, and ...

Deloitte

AI Data Engineer - Manager

Miami, FL · On-site

... machine learning models and large language models. • Conduct research to provide technical ... capabilities that assist with data ingestion, feature engineering, data management, and ...

Deloitte

AI Data Engineer - Manager

Tampa, FL · On-site

... machine learning models and large language models. • Conduct research to provide technical ... capabilities that assist with data ingestion, feature engineering, data management, and ...

Deloitte

AI Data Engineer - Manager

Jacksonville, FL · On-site

... machine learning models and large language models. • Conduct research to provide technical ... capabilities that assist with data ingestion, feature engineering, data management, and ...

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Machine Learning Assistant information

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 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 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 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 May 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.
Product Owner - Machine Learning - Assistant Vice President

Product Owner - Machine Learning - Assistant Vice President

Citigroup, Inc.

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

The Product Owner - Machine Learning - Assistant Vice President is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
  • Owns the working backwards documents for feature releases i.e. Product release doc, Press Release, FAQs
  • Makes use of research, user studies, metrics and competitive analysis to understand the customer and business needs for a platform product
  • Compares features for competitive review to inform prioritization within a product release
  • Identifies innovations or performs "test and learn" experiments to create features that add more business and customer value for a platform product
  • Participates with the business in customer research to inform priorities for platform product backlog.
  • Contributes near-term input (quarterly) for the platform product portfolio and roadmap
  • Facilitates trade-off decisions on platform product features
  • Exhibits expertise within platform feature area and coordinates with interdependent teams.
  • Has good awareness of platform feature health and delivers regular progress reports to stakeholders
  • Identifies and communicates opportunities for improvement with peers and stakeholders
  • Helps define business, customer and platform use cases and requirements
  • Ensures features meet backlog entrance criteria
  • Creates user stories and system interaction diagrams for platform feature solution
  • Hosts user story grooming sessions
  • Informs the design of the user experience i.e. wireframes and mock-ups
  • Ensures appropriate backlog depth for continuous development
  • Determines release targets for the platform and prioritizes assigned features according to business and platform value, adjusting throughout implementation as needed
  • Continuously monitors feature development through maintaining bug catalogs at the feature level
  • Reviews product demo with the development team and stakeholders against acceptance criteria for the feature set
  • Helps define business, customer and platform use cases and requirements
  • Ensures features meet backlog entrance criteria
  • Creates user stories and system interaction diagrams for platform feature solution
  • Hosts user story grooming sessions
  • Informs the design of the user experience i.e. wireframes and mock-ups
  • Ensures appropriate backlog depth for continuous development
  • Determines release targets for the platform and prioritizes assigned features according to business and platform value, adjusting throughout implementation as needed
  • Continuously monitors feature development through maintaining bug catalogs at the feature level
  • Reviews product demo with the development team and stakeholders against acceptance criteria for the feature set
  • Prepares launches and monitors platform performance, adoption, and operational health for feature sets
  • Identifies GTM plan with stakeholders for the feature set
  • Identifies issues that will keep the platform features from delivering on time and/or with the desired requirements and communicates to leadership
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Recommended Qualifications:
  • 5-8 years in a product development/product management environment
  • Strong analytical and quantitative skills; Data driven and results-oriented
  • Experience in running high traffic, distributed, cloud based services
  • Experience in Machine Learning (ML) feature engineering, model inference is required.
  • Experience with financial domain or Anti-Money Laundering (AML) monitoring systems and processes is a plus.
  • Proven experience working in an agile culture with at least 3 years of relevant experience specifically as a Product Owner, preferably within the banking domain.

Education:
  • Bachelor's/University degree or equivalent experience

Additional Preferred Skills:
  • Excellent written and oral communication skills, capable of articulating complex technical and business concepts clearly and concisely to diverse audiences.
  • Demonstrated ability to effectively work with and manage third-party service providers, fostering productive partnerships.
  • Experience in affecting large culture change
  • Experience leading infrastructure programs
  • Skilled at working with third party service providers
  • Excellent written and oral communication skills

Job Family Group:
Technology
Job Family:
Technology Product Management
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
May 20, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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