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Apprentice Machine Learning Testing Jobs in Florida

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 day per ... Implement evaluation frameworks and automated testing strategies to measure model quality, accuracy ...

Sr Machine Learning Engineer

Jacksonville, FL · On-site +1

$113K - $149K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this ... Conduct A/B testing and experimentation to optimize model performance. * Work closely with data ...

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

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

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... and testing. Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel approaches to solve challenging problems using Machine Learning, Big Data and Cloud ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... testing. • Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel • approaches to solve challenging problems using Machine Learning, Big Data and Cloud • ...

... machine learning techniques, including supervised/unsupervised learning, feature engineering, and model evaluation * Solid foundation in statistics, including experiment design, hypothesis testing ...

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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:

Future Opening: Machine Learning Engineer - Mid

Silverthorne Advisory Group

Tampa, FL • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
Silverthorne Advisory Group is seeking a Mid Machine Learning Engineer to support DoD program offices. The role involves training, testing, deploying, and maintaining machine learning models while collaborating with cross-functional teams to deliver solutions.
Responsibilities:
• Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation and serving.
• Optimize machine learning algorithms.
• Contribute to building an infrastructure that facilitates end-to-end ML workflows.
• Experience with one or more Deep Learning packages including but not limited to TensorFlow and PyTorch.
• Explore new technologies like quantum engineering for advanced model development.
• Collaborate with cross-functional teams to enhance data processing pipelines.
• Communicate and coordinate with teams to accomplish objectives and deliver excellence.
Qualifications:
Required:
• Top Secret clearance required (can be sponsored).
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
• 4+ years with natural language processing (NLP) topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, or application of deep learning to NLP.
• Strong background in a modern programming language, such as Python or Java, and associated numerical and analytics packages (NUMPY, PANDAS); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing.
• Ability to quickly grasp technical concepts and collaborate with multiple functional groups.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results.
Preferred:
• Recent DoD or IC-related experience.
• Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar).
• Experience in machine learning, data mining, information retrieval, statistics, or natural language processing.
• Experience in large scale AI and ML infrastructure, AWS ML tools such as SageMaker.
• Experience with data discovery techniques and tools such as AWS Glue Crawler, Apache Atlas, Datahub, or Collibra.
• Experience in working in an agile development environment.
Company:
Silverthorne Advisory Group is a data, cloud engineering, management and IT consulting firm. Founded in 2016, the company is headquartered in Arlington, VA, US, , with a team of 11-50 employees. The company is currently Early Stage.