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Junior Aws Machine Learning Jobs in Utah (NOW HIRING)

beatBread

AI Engineer

Saint George, UT · On-site

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

Pattern

Junior Account Executive

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Junior Account Executive on our PXM (Product Experience Management) team, you'll start by ...

Pattern Inc.

Junior Account Executive

Lehi, UT · On-site

$50 - $75/hr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Junior Account Executive on our PXM (Product Experience Management) team, you'll start by ...

Pattern

Junior Account Executive

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Junior Account Executive on our PXM (Product Experience Management) team, you'll start by ...

Pattern

Junior Account Executive

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Junior Account Executive on our PXM (Product Experience Management) team, you'll start by ...

nCino

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

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 ...

nCino OpCo

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

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 ...

Pwc

CTIO AI Engineering Manager

Salt Lake City, UT

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

3M HEALTHCARE

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

Proficiently create machine learning models tailored to solve business problems. * Work with large ... Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.). * Mastery of ...

Pwc

AI Engineer

Salt Lake City, UT · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pattern

Junior AI Art Director (Part-Time)

Lehi, UT · On-site

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly ...

Pattern

Junior AI Art Director (Part-Time)

Lehi, UT · On-site

$27.55/hr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... As a Junior AI Art Director, you will sit on the cutting edge of art and technology, directly ...

OC Tanner

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

AWS Certified Machine Learning Engineer - Associate or equivalent * Cloud AI infrastructure management using AWS services and Terraform * AI observability experience with OpenTelemetry, Langfuse, or ...

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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?

AspectJunior Aws Machine LearningData Scientist
Required CredentialsBasic AWS certifications, entry-level ML knowledgeAdvanced degrees, certifications like AWS, data analysis skills
Work EnvironmentCloud platforms, machine learning projects, collaborative teamsData analysis, modeling, research, cross-functional teams
Employer & Industry UsageTech companies, startups, cloud service providersFinance, 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:

Junior Aws Machine Learning jobs near you

AI Engineer

beatBread

Saint George, UT • On-site

Full-time

Re-posted 9 days ago

Job description

About The Role

As an AI Engineer, you will design, build, and deploy sophisticated AI solutions that drive innovation and strategic impact across the organization. Collaborating closely with cross-functional teams, you will develop and optimize machine learning models, refine data pipelines, and harness emerging AI technologies such as ChatGPT and OpenAI APIs. This role offers the opportunity to shape and implement AI-driven strategies, leveraging your expertise in Python, SQL, Docker, AWS, and custom ML training techniques.

Essential Duties and Responsibilities
  • Lead the end-to-end development, testing, and deployment of AI and ML models
  • Architect and maintain scalable data pipelines using Python, SQL, and AWS services
  • Integrate and fine-tune ChatGPT and OpenAI APIs to meet specific business needs
  • Build and manage containerized environments and workflows with Docker
  • Collaborate with data scientists and engineers to optimize model performance and reliability
  • Implement, monitor, and improve model training processes, including domain-specific custom training
  • Advise on and adopt new AI frameworks and best practices to enhance the organization's AI capabilities
  • Troubleshoot and resolve performance and security issues related to AI systems
Qualifications and Skills
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field, or equivalent experience.
  • 4-8 years of experience in AI engineering, data science, software engineering, software development, or related roles.
  • Proficiency in Python for data manipulation, scripting, and model development
  • Solid understanding of SQL for data querying, management, and optimization
  • Hands-on experience with Docker for containerization and deployment
  • Familiarity with ChatGPT, OpenAI APIs, and other large language models
  • 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
  • Ability to collaborate effectively with cross-functional stakeholders
  • Proven track record of learning and adapting to emerging AI technologies and tools
Physical Requirements
  • Flexible to work additional hours as needed to meet project deadlines.
  • Ability to sit and work at a computer for extended periods.
  • Occasional lifting of equipment or materials may be required, but not exceeding 20 pounds.
  • Ability to communicate effectively in person, over the phone, and through digital channels.

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