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

Truelogic Software(1 month ago)

RemoteFull TimeSenior$141,363 - $190,672 (estimated)Operations

About this role

A Senior Machine Learning Engineer specializing in Generative AI and Multimodal Systems at Truelogic will lead the development of AI systems that integrate text, image, and audio content. Responsibilities include designing and deploying ML models, fine-tuning generative architectures like Diffusion Models and GANs, and collaborating with cross-functional teams to transition research into scalable applications. The role requires expertise in Python, PyTorch, and cloud ML platforms, alongside a proven background in machine learning engineering and multimodal systems.

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Required Skills

Machine Learning
Multimodal Systems
Generative AI
Python
PyTorch
AWS SageMaker
GCP Vertex AI
Azure ML
Cloud Platforms
Model Deployment

+10 more

Qualifications

5+ years of machine learning engineering experience
1+ year specifically in generative AI or multimodal systems
Deep expertise in either computer vision or NLP
Hands-on experience with generative model architectures: diffusion models, transformer-based models, or GANs
Expert-level Python skills
Extensive experience using PyTorch
Experience with the Hugging Face ecosystem (Transformers, Diffusers, Accelerate)
Experience deploying and maintaining ML models in production
Experience with cloud ML platforms such as AWS SageMaker, GCP Vertex AI, or Azure ML

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.