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Apprentice Machine Learning Testing Jobs in Florida

Sr. Machine Learning Engineer

Bradenton, FL · Remote

$111K - $146K/yr

Sr. Machine Learning Engineer The Sr. Machine Learning Engineer collaborates with the team of Data ... Advocates a testing first strategy to integrate A/B testing into all levels of product development.

AI Machine Learning Scientist Location: This role requires associates to be in-office 1 day per ... Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy ...

AI Machine Learning Scientist AI Machine Learning Scientist Location: This role requires associates ... Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy ...

AI Machine Learning Scientist Location : This role requires associates to be in-office 1-2 days per ... Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy ...

... testing, and observability • Partner with data science to productionize pricing models and build robust model-serving pipelines • Drive reliability, latency, and scalability improvements across ...

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 ...

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 ...

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Apprentice Machine Learning Testing information

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 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 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:

Sr. Machine Learning Engineer

Omni Inclusive

Boca Raton, FL

$98K - $135K/yr

Other

Posted 12 days ago


Job description

Job Title

Mandatory skills - A blend of person who is familiar with Machine Learning Models, Docker, Container, Kubernetes, SQL, Excel, Power BI or Tableau

1. Build machine learning models in open-source packages like Python and deploy using cloud infrastructure available in AWS Sage maker Azure Client flow.

2. Understand the business requirement and suggest evaluating the right features and technique best suited to train and test the model.

Work on feature engineering to ensure most information going into the model for prediction accuracy.

3. Work with cloud architecture and digital development team to deploy the model online and offline.

4. Work with testing team to design the test online or offline and work towards improving the model based on test results.

5. Collaborate with internal stakeholders to understand the business strategy and work towards supporting that by gathering the right data and building machine learning models.

6. Follow machine learning model management and lifecycle best practice for all Artificial Intelligence and Machine Learning models created.