Experience with public cloud solutions, such as AWS or GCP * Proven track record of successful ... Coaching and mentoring junior engineers in the team * Team player DNA with a positive, self-starter ...
Experience with public cloud solutions, such as AWS or GCP * Proven track record of successful ... Coaching and mentoring junior engineers in the team * Team player DNA with a positive, self-starter ...
Experience with public cloud solutions, such as AWS orGCP * Proventrack recordof successful ... Coaching and mentoring junior engineers in the team * Team player DNA with a positive, self-starter ...
Experience with public cloud solutions, such as AWS orGCP * Proventrack recordof successful ... Coaching and mentoring junior engineers in the team * Team player DNA with a positive, self-starter ...
Experience with public cloud solutions, such as AWS orGCP * Proventrack recordof successful ... Coaching and mentoring junior engineers in the team * Team player DNA with a positive, self-starter ...
Experience with public cloud solutions, such as AWS orGCP * Proventrack recordof successful ... Coaching and mentoring junior engineers in the team * Team player DNA with a positive, self-starter ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
West Jordan, UT · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
West Jordan, UT · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Ogden, UT · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Ogden, UT · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Logan, UT · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Logan, UT · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Orem, UT · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
Machine Learning Engineer
Orem, UT · On-site
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues * Build evaluation harnesses and benchmark infrastructure, with held ...
You will work at the intersection of capacity planning, automation engineering, construction, and operations - spanning EC2, Machine Learning, and Storage hardware platforms in AWS manufacturing Your ...
You will work at the intersection of capacity planning, automation engineering, construction, and operations - spanning EC2, Machine Learning, and Storage hardware platforms in AWS manufacturing Your ...
You will work at the intersection of capacity planning, automation engineering, construction, and operations - spanning EC2, Machine Learning, and Storage hardware platforms in AWS manufacturing Your ...
You will work at the intersection of capacity planning, automation engineering, construction, and operations - spanning EC2, Machine Learning, and Storage hardware platforms in AWS manufacturing Your ...
Senior Data Scientist
Lehi, UT · On-site
Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...
Senior Data Scientist
Lehi, UT · On-site
Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...
Senior Data Scientist
Lehi, UT · On-site
Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...
Senior Data Scientist
Lehi, UT · On-site
Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...
Senior Data Scientist
Lehi, UT · On-site
$180 - $250/hr
Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...
Senior Data Scientist
Lehi, UT · On-site
$180 - $250/hr
Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...
Senior Data Scientist
Lehi, UT · On-site
Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...
Senior Data Scientist
Lehi, UT · On-site
Lead the design, development, and implementation of sophisticated machine learning models and ... Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning ...
AI Engineer
Saint George, UT · On-site
$50K - $90K/yr
Strong knowledge of machine learning fundamentals (supervised/unsupervised learning, model tuning, evaluation) * Experience working with AWS (e.g., S3, EC2, Lambda) for cloud-based solutions
AI Engineer
Saint George, UT · On-site
$50K - $90K/yr
Strong knowledge of machine learning fundamentals (supervised/unsupervised learning, model tuning, evaluation) * Experience working with AWS (e.g., S3, EC2, Lambda) for cloud-based solutions
Junior Aws Machine Learning information
What is a junior AWS machine learning engineer?
Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.
What are the key skills and qualifications needed to thrive as a junior AWS machine learning engineer?
To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.
What are some common challenges faced by junior AWS machine learning engineers when deploying models to production environments?
Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.
What is the difference between Junior Aws Machine Learning vs Data Scientist?
| Aspect | Junior Aws Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Basic AWS certifications, entry-level ML knowledge | Advanced degrees, certifications like AWS, data analysis skills |
| Work Environment | Cloud platforms, machine learning projects, collaborative teams | Data analysis, modeling, research, cross-functional teams |
| Employer & Industry Usage | Tech companies, startups, cloud service providers | Finance, healthcare, tech, research institutions |
Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.
What are the most commonly searched types of Aws Machine Learning jobs in Utah?
The most popular types of Aws Machine Learning jobs in Utah are:
What are popular job titles related to Junior Aws Machine Learning jobs in Utah?
For Junior Aws Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Junior Aws Machine Learning jobs in Utah look for?
The top searched job categories for Junior Aws Machine Learning jobs in Utah are:
What cities in Utah are hiring for Junior Aws Machine Learning jobs?
Cities in Utah with the most Junior Aws Machine Learning job openings:
Full-time
Medical, Retirement, PTO
Re-posted 11 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:
WHAT YOU'LL NEED
Preferred Requirements:
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 on Twitter.
WAYSTAR PERKS
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.
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 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.
About Waystar
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
Louisville, KY, US
Year founded
2017