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Apprentice Machine Learning Testing Jobs in Utah

Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to ... Familiarity with production code practices, including unit testing, object-oriented programming ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format ...

... 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 ...

... foremen learning to fabricate and install ductwork, fittings, and mechanical systems across ... machines under supervision * Help stage and load fabricated materials for transport to job sites

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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 cities in Utah are hiring for Apprentice Machine Learning Testing jobs? Cities in Utah with the most Apprentice Machine Learning Testing job openings:

$107K - $183K/yr

Full-time

Posted yesterday


Job description

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.


Are you a highly motivated problem solver looking for a challenge? Do you want to make a significant impact on complex banking problems and be a driving force in the AI revolution in banking? Then look no further! Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation and insights into our products.
As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify high-impact business challenges and opportunities, analyze complex datasets, extract meaningful insights, and develop/deploy/monitor data-driven solutions. Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry.


 

Essential Functions:

  • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

  • Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems

  • Experience in large data sets and algorithms

  • Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems

  • Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner

  • Understanding of data science priorities and how each contributes to the success of nCino

  • Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches

  • Extensive experience in developing, deploying, and monitoring complex machine learning models

  • Lead and guide teams in implementing programming best practices and adopting emerging technologies

  • Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.

  • Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.

  • Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.

  • Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

Qualifications:

Required:

  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education

  • Demonstrated mastery of programming skills in Python or R

  • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)

  • Demonstrated mastery of machine learning algorithms and techniques

  • Strong problem-solving skills and ability to work independently and collaboratively

  • Strong experience with SQL or noSQL and database management systems

  • Experience deploying and monitoring models in production

  • Strong understanding of the business domain

  • Ability to translate business questions into analytics projects and deliver actionable insights

  • Flexibility and the ability to be productive in a fast-paced, team environment

  • Excellent verbal and written communication skills for technical and non-technical audiences

  • Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control

Desired:

  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field

  • Experience developing and deploying models using Databricks and mlflow

  • Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight

  • Experience with Agile software development


 

If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.


 

The pay range for this role is based on relative market data and alignment with our compensation philosophy. The range displayed reflects the minimum and maximum of the pay range for each job posting, which is used to determine new hire rates/salaries and takes into consideration multiple factors including but not limited to knowledge, skills, abilities, proficiencies, experience, education, licensures/certifications, as well as business and organizational needs. nCino reserves the right to modify the posted range consistent with our internal practices and external market movement. The recruiter for this job posting can share more compensation details during the recruitment process, as base salary is only one component of the total compensation package per position posted.

The base salary range for this job is:

$107,900.00 - $183,400.00

nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at recruiting@ncino.com.

Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success. We strive to create workplaces where employees are empowered to bring their authentic selves to work.