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Apprentice Machine Learning Testing Jobs in Utah

Waystar

Data Scientist

Lehi, UT · On-site

... of machine learning models including:  hold-out sets, cross-validation, leave-one-out testing • Demonstrated competency in R/Python predictive modeling • Demonstrated competency in RDBMS (e.g.

Waystar

Sr. Data Scientist

Lehi, UT · On-site

... machine learning models including: hold-out sets, cross-validation, leave-one-out testing • Understanding of orders of algorithms and how they scale • Demonstrated competency in R/Python ...

Helix Electric, LLC

Apprentice

Sandy, UT

Responsible for assisting or completing assembly, installation, maintenance and testing of ... Learning and using excellent working knowledge of the Building Codes. * Learning and using strong ...

Helix Electric

Apprentice

Sandy, UT

Responsible for assisting or completing assembly, installation, maintenance and testing of ... Learning and using excellent working knowledge of the Building Codes. * Learning and using strong ...

Helix Electric

Apprentice

Sandy, UT · On-site

Responsible for assisting or completing assembly, installation, maintenance and testing of ... Learning and using excellent working knowledge of the Building Codes. * Learning and using strong ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

Waystar

Data Scientist

Lehi, UT · On-site

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Demonstrated competency in R ...

Crew Career Center

Sr. Data Scientist

Lehi, UT · On-site

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

Patientco

Data Scientist

Lehi, UT · On-site

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Demonstrated competency in R ...

Crew Career Center

Data Scientist

Lehi, UT · On-site

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Demonstrated competency in R ...

Patientco

Sr. Data Scientist

Lehi, UT · On-site

Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing * Understanding of orders of ...

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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 Utah? For Apprentice Machine Learning Testing jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Utah look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Utah are:
What cities in Utah are hiring for Apprentice Machine Learning Testing jobs? Cities in Utah with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Platform Engineer Machine Learning (Utah)

Platform Engineer Machine Learning (Utah)

Waystar

Lehi, UT • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
Waystar is a company that helps providers simplify healthcare payments and improve financials through innovative technology. They are seeking a Machine Learning Platform Engineer to develop and enhance their machine learning platform, manage model life cycles, and implement data engineering solutions.
Responsibilities:
• Develop and enhance the machine learning platform to manage the full model life cycle
• Build frameworks and tools to enable the data science team developing and enhancing predictive models, support scalable real-time predictions in production
• Design and implement data engineering solutions for model training
• Expand NLP capabilities with advanced analysis techniques to improve text understanding
• Design and implement high-performance, scalable services and applications
• Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation
• Understand and adhere to development standards for consistency across teams
• Perform in-depth technical and performance analyses to troubleshoot production issues
• Monitor and maintain production systems for reliability and efficiency
Qualifications:
Required:
• Bachelor’s degree in Computer Science or related area, Masters preferred
• 7+ years of professional experience writing Python or Java code, with at least 3 years building data platforms
• Expert proficiency with SQL
• NLP
• Seasoned practitioner of engineering best practices such as CI/CD and automated testing
• Comfort working in a Linux environment
• Passion for exploring, applying and following the evolution of cutting edge technologies related to AI, machine learning, NLP and large scale data processing
• Professional experience with MLOps, Docker, Kubernetes, relational databases (PostgreSQL preferred), Kafka, REST API design, and microservices application architectures
• Experience with public cloud solutions, such as AWS or GCP
• Proven track record of successful delivery of progressively complex technical projects
• Coaching and mentoring junior engineers in the team
• Team player DNA with a positive, self-starter attitude
• Attention to detail, highly organized, with an absolute focus on quality of work
Preferred:
• Familiarity with ClearML, Triton, PyTorch, and TensorFlow
• Familiarity with statistics and healthcare domain
• Proven expertise in successful large project/build management and execution
Company:
Waystar is a technology platform that provides healthcare revenue cycle management solutions. Founded in 2017, the company is headquartered in Louisville, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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