Machine Learning Engineer (GenAI & Multimodal Systems) - Creative Tech Studio (DR)
Truelogic Software(1 month ago)
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.
Required Skills
- Machine Learning Engineering
- Multimodal AI
- Generative AI
- Model Optimization
- End-to-End ML Pipelines
- Data Processing
- Collaboration
- Experimentation
- Cloud ML Platforms
- Python
+6 more
Qualifications
- 5+ years of machine learning engineering experience
- 1+ year in generative AI or multimodal systems
- Deep expertise in computer vision or NLP
- Hands-on experience with generative model architectures: diffusion models, transformer-based models, or GANs
- Expert-level Python skills
- Experience using PyTorch
- Experience using 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.ioTruelogic 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.
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