Truelogic Software

Machine Learning Engineer (GenAI & Multimodal Systems) - Creative Tech Studio (DR)

Truelogic Software

3 months ago
Remote
Full Time
Senior
0 applicants
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Truelogic Software
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About this role

A Senior Machine Learning Engineer at Truelogic is responsible for leading the development of next-generation multimodal and generative AI systems, handling the full lifecycle from research and experimentation to deployment and monitoring. The role involves designing and optimizing models that can understand and generate content across various modalities, collaborating with cross-functional teams to translate state-of-the-art research into scalable applications. Expertise in generative architectures such as Diffusion Models and GANs, as well as strong programming skills in Python and experience with cloud ML platforms, is essential for success in this position.

Skills

Qualifications

5+ years of machine learning engineering experience1+ year in generative AI or multimodal systemsDeep expertise in computer vision or NLPHands-on experience with generative model architectures: diffusion models, transformer-based models, or GANsExpert-level Python skills
Truelogic Software

About Truelogic Software

www.truelogic.io

Truelogic Software is a leading nearshore software development company focused on providing tailored solutions for American businesses. With over 21 years of experience, the company specializes in staff augmentation, managed teams, and consulting, effectively integrating elite tech and creative talent from Latin America into client teams. Truelogic is dedicated to accelerating digital transformation through agile methodologies, innovative design, and data-driven insights, serving a wide array of industries including finance, healthcare, and entertainment. Their commitment to quality and collaboration has made them a preferred partner for organizations ranging from startups to Fortune 500 companies.

About Truelogic Software

Headquarters

San Francisco, CA

Company Size

201-500 employees

Founded

2018

Industry

Technology

Glassdoor Rating

4.2 / 5

Leadership Team

Sarah Johnson

Chief Executive Officer

Michael Chen

Chief Technology Officer

Emily Williams

VP of Engineering

David Rodriguez

VP of Product

Jessica Thompson

Chief Financial Officer

Andrew Park

VP of Sales

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