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Trainee Edge Ai Machine Learning Jobs (NOW HIRING)

USAA

AI & Machine Learning Engineer

San Antonio, TX · On-site +1

$103K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on ... edge technology. Responsibilities include data preprocessing, model training, building APIs, and ...

Gyrus AI

AI / Machine Learning Engineer

Santa Clara, CA · On-site

$80 - $120/hr

Develop machine learning applications according to requirements * Select appropriate datasets and data representation methods * Train ML/AI algorithms and test them for accuracy, precision and recall.

Morgan-Stanley

NY · On-site

$155 - $215/hr

This is a Generative AI & Machine Learning Engineering position at the Vice President level, which ... Our insights, our applications and infrastructure give a competitive edge to clients' businesses ...

Schneider National

AI & Machine Learning Engineer

Green Bay, WI · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The AI & Machine Learning Engineer will work closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives. Responsibilities: * Deploy and ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL · On-site

$110 - $170/hr

... AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams ... edge solutions * Ensures the accuracy, consistency, and security of data; implements and enforces ...

OneBlood

AI & Machine Learning Engineer

Saint Petersburg, FL

$105K - $127K/yr

... AI) and Machine Learning (ML) projects across the organization. Works with cross-functional teams ... edge solutions * Ensures the accuracy, consistency, and security of data; implements and enforces ...

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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
Infographic showing various Trainee Edge Ai Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Senior Vice President, AI / Machine Learning Software Engineer

BNY

Pittsburgh, PA

$118K - $156K/yr

Full-time

Posted 5 days ago

Job description

hackajob is collaborating with BNY to connect them with exceptional professionals for this role.

We are seeking a future team member for the role of  Senior Vice President AI/Machine Learning Software Engineer to join our client platforms, global payments and trade team. This role is located in Pittsburgh.

In this role, you’ll make an impact in the following ways:

  • Provide comprehensive senior-level technical consulting to senior machine learning staff and serve as the technical expert in the design, development, implementation and maintenance of model deployments and machine learning pipeline technologies and tools.
  • Lead end-to-end strategic planning and oversight of large-scale machine learning systems and complex machine learning initiatives with direct strategic impact.
  • Consult with businesses to resolve highly complex machine learning and pipeline issues, evaluate compliance with data and model governance standards, and maintain pipeline functionality and currency.
  • Develop flowcharts, layouts and documentation to satisfy requirements and solutions, integrate automated lifecycle components into fully functional pipelines, and define implementation plans for model integration and performance optimization.

To be successful in this role, we’re seeking the following:

  • Advanced degree in STEM engineering, or equivalent work experience, with experience preferred in related fields.
  • 7-9 years of related experience in leading and supporting the development and deployment of machine learning solutions, model integrations, and scalable machine learning technologies.
  • Experience in the securities or financial services industry.
  • Experience leading and supporting the development and deployment of machine learning solutions, model integrations, and scalable machine learning technologies.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

Apply