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Apprentice Machine Learning Testing Jobs in Georgia

TriOptus LLC

Machine Learning Engineer

Atlanta, GA · On-site

$85.92 - $130/hr

Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards. * Conduct comprehensive code reviews to enforce coding standards ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Data governance and data testing frameworks * Continuous integration and delivery of production ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Data governance and data testing frameworks * Continuous integration and delivery of production ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... Data governance and data testing frameworks * Continuous integration and delivery of production ...

ConstructConnect

Machine Learning Engineer II

Atlanta, GA · On-site

$93K - $128K/yr

As a Machine Learning Engineer II (AI Enablement), you will play a crucial role in designing ... Implement and maintain CI/CD pipelines to automate testing, building, and deploying AI/ML ...

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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 Georgia? For Apprentice Machine Learning Testing jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Georgia look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Georgia are:
What cities in Georgia are hiring for Apprentice Machine Learning Testing jobs? Cities in Georgia 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

Atlanta, GA • On-site

Other

Medical, Retirement, PTO

Posted 10 days ago

Job description

ABOUT THIS POSITION

We are looking for a Machine Learning Platform Engineer - Backend Services ?that will help us build out the platform that supports?the training and application of our predictive models and performs deep analysis to extract machine consumable meaning from unstructured clinical documentation. You will be joining a small team that has become one of the top players in our field in just two years. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. You will be accessing our enormous amount of data to help drive our future innovation.

WHAT YOU'LL DO

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

WHAT YOU'LL NEED

  • Minimum Requirements (Education, certifications and experience):

  • 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 Requirements:

  • Familiarity with ClearML, Triton, PyTorch, and TensorFlow

  • Familiarity with statistics and healthcare domain

  • Proven expertise in successful large project/build management and execution

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.

Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (https://twitter.com/Waystar) on Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)

  • Customizable benefits package (3 medical plans with Health Saving Account company match)

  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays

  • Paid parental leave (including maternity + paternity leave)

  • Education assistance opportunities and free LinkedIn Learning access

  • Free mental health and family planning programs, including adoption assistance and fertility support

  • 401(K) program with company match

  • Pet insurance

  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Job Category: Technology/Engineering

Job Type: Req ID: R3038

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