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Apprentice Machine Learning Testing Jobs in Florida

AEG

Data Scientist, Machine Learning

Orlando, FL · On-site

The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying ... Establish best practices for testing, validation, documentation, versioning, and model ...

HEICO

Manual Machinist Apprentice

Hollywood, FL

$16.25 - $20.75/hr

The Manual Machinist Apprentice assists the machining department while learning the fundamentals of machining operations used in the repair and manufacturing of aviation components. The apprentice ...

Heico

Manual Machinist Apprentice

Hollywood, FL · On-site

$16.25 - $20.75/hr

The Manual Machinist Apprentice assists the machining department while learning the fundamentals of machining operations used in the repair and manufacturing of aviation components. The apprentice ...

HEICO

Manual Machinist Apprentice

Hollywood, FL · On-site

$16.25 - $20.75/hr

The Manual Machinist Apprentice assists the machining department while learning the fundamentals of machining operations used in the repair and manufacturing of aviation components. The apprentice ...

Comfort Temp

Sheet Metal Apprentice

Gainesville, FL · On-site

... learning, and clear career pathways. Job Summary The Commercial HVAC Sheet Metal Apprentice ... testing with guidance from leadership. • Properly use and maintain personal hand tools and ...

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Apprentice Machine Learning Testing information

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Florida? For Apprentice Machine Learning Testing jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Florida look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Florida are:
What cities in Florida are hiring for Apprentice Machine Learning Testing jobs? Cities in Florida with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you

Data Scientist, Machine Learning

Orlando Magic

Orlando, FL • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Orlando Magic is a professional basketball team that focuses on innovation and teamwork. They are seeking a Data Scientist, Machine Learning to support Basketball Operations by developing and deploying machine learning models to enhance decision-making in player evaluation and game strategy.
Responsibilities:
• Build and productionize machine learning models that support basketball decision making.
• Design and maintain scalable systems and pipelines for data processing, training, inference, and monitoring.
• Partner closely with analysts, engineers, and basketball stakeholders to turn research ideas into reliable tools.
• Establish best practices for testing, validation, documentation, versioning, and model observability.
• Develop modeling approaches that translate basketball data into clear, actionable insights.
• All other duties as assigned.
Qualifications:
Required:
• Bachelor’s in Computer Science, Statistics, Math or related field.
• 1+ years of experience with Python and SQL, with solid software engineering fundamentals including testing, version control, and maintainable code practices.
• 1+ years of experience with applied machine learning techniques, with fluency across tree-based methods, deep learning, and modern modeling workflows.
• 1+ years of experience with building, deploying, and maintaining end to end machine learning systems in production environments.
• Passion for basketball and an understanding of the basketball analytics space.
• Willingness to work long and irregular hours with a flexible schedule based on the changing priorities of the department.
• Willingness to work a flexible schedule including nights and weekends and be on-call as necessary based on the changing priorities of the department.
• Proficient in all Microsoft Office products and other related computer skills required.
• Ability to meet tight deadlines and work well under pressure.
• Strong organizational skills, time management skills and attention to detail required.
• Strong verbal and written communication skills with an emphasis on business writing skills.
• Ability to prioritize and manage multiple tasks/projects.
• Ability to work independently without supervision, be self-directed and demonstrate initiative.
• Strong team synergy skills and ability to work collaboratively with others whom you have no direct authority over.
• Excellent ability to establish rapport with others and ability to build strong interpersonal relationships.
• Exhibit good judgment and decision-making skills.
Company:
Orlando's NBA franchise since 1989, the Magic's mission is to be world champions on and off the court, delivering legendary moments every step of the way. Founded in 1989, the company is headquartered in Orlando, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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