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Junior Aws Machine Learning Jobs in Utah (NOW HIRING)

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability ...

ICF

Senior Climate Analytics Specialist

Salt Lake City, UT

$84K - $103K/yr

... AWS, SageMaker) * Demonstrated experience applying machine learning and statistical models to climate science, risk analysis, or related topics, using relevant Python packages (e.g., scikit-learn ...

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

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

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 ...

NiCE

Senior Software Architect (AI, AWS, React, C#)

Sandy, UT · On-site

$123K - $167K/yr

... AWS or hybrid cloud environments. • Experience with Angular or modern web frameworks. • 2+ ... of machine learning concepts. • Experience with telecommunications, real-time systems, or ...

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 ...

Octanner

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 ...

NICE

Senior Software Architect (AI, AWS, React, C#)

Sandy, UT · On-site

$123K - $167K/yr

Experience with AWS or hybrid cloud environments. * Experience with Angular or modern web ... Understanding of machine learning concepts. * Experience with telecommunications, real-time systems ...

CaseWorthy, LLC

Software Engineer I

Salt Lake City, UT · On-site

$85K - $110K/yr

... machine-learning platform behind it, and AI features being built into the product itself. AI is ... AWS or GCP welcome). * Cloud-native basics: containers, CI/CD, infrastructure as code. * Test ...

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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.

Are there entry level AWS jobs?

Yes, there are entry-level AWS jobs such as Junior AWS Machine Learning roles that typically require foundational knowledge of cloud computing, basic understanding of machine learning concepts, and familiarity with AWS services like S3, EC2, and SageMaker. These roles often serve as starting points for careers in cloud and machine learning fields and may require certifications like AWS Certified Cloud Practitioner or AWS Certified Machine Learning – Specialty. Candidates should be prepared to learn on the job and develop skills through training and hands-on experience.

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:
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Junior Aws Machine Learning jobs near you

AI Infrastructure Engineer IV

Autonomous Solutions

Lehi, UT • On-site

$100K - $132K/yr

Full-time

Re-posted 4 days ago

Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets. As an AI Infrastructure Engineer IV, you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our compute, storage, and cloud environments are scalable, efficient, and tuned for high-performance AI workloads. Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems. Responsibilities:Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads.Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability.Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows.Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes.Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines.Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges. Required Qualifications:Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.8+ years of experience in cloud infrastructure, DevOps, or platform engineering with 3+ years working on AI/ML systems.Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage.Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools.Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.).Experience implementing CI/CD pipelines, MLOps practices, and automation tooling. At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.
Job Posted by ApplicantPro