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Trainee Edge Ai Machine Learning Jobs (NOW HIRING)

Honeywell

Director Embedded AI Engineering

Atlanta, GA · On-site

You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions. We are ...

GN Group

Machine Learning Engineer - Edge

Dover, NH · On-site +1

$86K - $135K/yr

Machine Learning Engineer - Edge *Please consider before applying: This is a hybrid role, and ... Turn up the volume on your career as Cloud AI/ML Engineer GN brings people closer through our ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · On-site

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

The Hartford

AI Machine Learning Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

Honeywell

Director Embedded AI Engineering

Atlanta, GA · On-site

$126K - $166K/yr

You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions. We are ...

1Kosmos

AI / Machine Learning Engineer

Iselin, NJ · Hybrid

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer ... Benefits * Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

The Hartford

AI Machine Learning Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA

$140K - $170K/yr

It is a cutting-edge research and development opportunity with the potential to improve people ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

The Hartford

AI Machine Learning Engineer

Charlotte, NC · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

The Hartford

AI Machine Learning Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading AI and ...

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Trainee Edge Ai Machine Learning information

What is the difference between Trainee Edge Ai Machine Learning vs Data Analyst?

AspectTrainee Edge Ai Machine LearningData Analyst
Required CredentialsBasic programming, introductory AI/ML coursesStatistics, data visualization, Excel, SQL
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports

While both roles involve working with data, Trainee Edge Ai Machine Learning focuses on developing and training AI models, requiring programming and machine learning knowledge. Data Analysts primarily interpret existing data to inform business decisions, emphasizing statistical analysis and visualization skills. The roles differ in technical depth and focus but often overlap in data handling and industry usage.

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Trainee Edge Ai Machine Learning jobs near you
Director Embedded AI Engineering

Director Embedded AI Engineering

Honeywell

Atlanta, GA • On-site

Full-time

Posted 4 days ago

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 180 frontline employees who took The Breakroom Quiz

68th of 527 rated manufacturers

Job description

This role is for a hands-on lead specializing in Edge AI deployment. The successful candidate will provide specialized expertise in model optimization at the edge, robust deployment, and MLOps pipeline development. You will leverage your skills in edge optimization, system and embedded knowledge, AI/machine learning, MLOps, computer vision, innovation, and problem solving to drive advanced AI solutions.

We are seeking someone with embedded AI experience, particularly with GPUs or AI accelerators, and strong system solution knowledge for AI application deployment.

You will be part of the Forge and AI team, based in Atlanta, Georgia.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

YOU MUST HAVE

  • Proven experience in embedded AI with hands-on expertise in GPU or AI accelerator deployment.
  • Strong skills in edge model optimization and embedded system architecture.
  • Deep understanding of AI/machine learning algorithms and computer vision applications.
  • Experience building and managing MLOps pipelines for AI model deployment at the edge.
  • Excellent problem-solving skills and a passion for innovation in embedded AI technologies.

WE VALUE

  • Background in system solutions with AI application deployment experience.
  • Strong knowledge of embedded systems and real-time operating environments.
  • Experience working in collaborative, agile environments.
  • Advanced degree in Computer Science, Electrical Engineering, or related technical field preferred.

US PERSON REQUIREMENTS:

  • Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

KEY RESPONSIBILITIES

  • Lead hands-on development and deployment of Edge AI solutions with a focus on model optimization and performance on embedded platforms.
  • Design and implement robust MLOps pipelines to support continuous integration and deployment of AI models at the edge.
  • Collaborate with cross-functional teams to integrate AI applications into embedded systems using GPUs and AI accelerators.
  • Provide technical leadership and mentorship in embedded AI, system architecture, and AI deployment strategies.
  • Drive innovation and problem-solving initiatives to enhance AI capabilities and deployment robustness on edge devices.

What Honeywell employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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