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Edge Ai Machine Learning Jobs in Utah (NOW HIRING)

NICE

Senior Machine Learning Engineer

Sandy, UT · Hybrid

$99K - $136K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Pattern

Technical Product Manager, AI

Lehi, UT · On-site

$156K - $181K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... edge AI capabilities into actionable, scalable marketplace solutions. This high-impact role ...

New

Pattern

Technical Product Manager, AI

Lehi, UT · On-site

$156K - $181K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... edge AI capabilities into actionable, scalable marketplace solutions. This high-impact role ...

Pattern

Technical Product Manager, AI

Lehi, UT · On-site

$156K - $181K/yr

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... edge AI capabilities into actionable, scalable marketplace solutions. This high-impact role ...

NICE

Senior Machine Learning Engineer

Sandy, UT · On-site

$113K - $150K/yr

As Senior Machine Learning Engineer, you will own the evaluation and optimization of speech-oriented AI models - covering real-time transcription and speech-to-speech systems across dozens of ...

Entrata

Senior Data Scientist

Lehi, UT · On-site

$133K - $213K/yr

If you are a seasoned professional with a passion for cutting-edge technologies and a commitment to ... for AI/ML contributions within Entrata's long-term roadmap. * Execute machine learning and ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

... edge AI. With a proven track record of sustained growth and a global team of more than 2,200 ... Minimum Qualifications: * 5+ years of experience in data science, machine learning, applied AI, or ...

New

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

... edge AI. With a proven track record of sustained growth and a global team of more than 2,200 ... Minimum Qualifications: * 5+ years of experience in data science, machine learning, applied AI, or ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... in deep learning and machine learning * Participate in cutting-edge research for medical ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... in deep learning and machine learning * Participate in cutting-edge research for medical ...

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Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Utah?

The most popular types of Edge Ai Machine Learning jobs in Utah are:

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For Edge Ai Machine Learning jobs in Utah, the most frequently searched job titles are:

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What cities in Utah are hiring for Edge Ai Machine Learning jobs?

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Edge Ai Machine Learning jobs near you

Data Scientist and AI Specialist

NexOne, Inc

Clearfield, UT • On-site

$110 - $160/hr

Other

Posted 18 days ago

Job description

About the Role

We are seeking an innovative and driven Data Scientist / AI Specialist to join our advanced technology team. In this role, you will architect, build, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs), Vector Databases, and Knowledge Graphs. You will play a pivotal role in bridging the gap between raw unstructured data and intelligent, context-aware applications that drive business impact.

Key Responsibilities

  • LLM Integration & Fine-Tuning: Design, implement, and optimize applications utilizing Large Language Models (LLMs) via APIs and open-source frameworks (e.g., LangChain, LlamaIndex).

  • Vector Database Architecture: Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines.

  • Knowledge Graph Development: Design and construct Knowledge Graphs to structure complex domain data, integrating them with LLMs and vector search to improve reasoning and context retrieval (GraphRAG).

  • Python Scripting & Pipeline Automation: Write robust, production-ready Python code to automate data ingestion, preprocessing, embedding generation, and model evaluation.

  • Collaboration & Deployment: Work closely with cross-functional teams (Software Engineers, Data Engineers, and Product Managers) to deploy AI models into scalable cloud production environments.

Required Qualifications

  • Experience: 3+ years of professional experience in Data Science, Machine Learning, or Artificial Intelligence, with a strong focus on NLP and generative AI.

  • Programming: Advanced proficiency in Python scripting and modern ML libraries

  • Education: BS in Technical Domain

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