Machine Learning Engineer – GenAI, Multimodal Systems

9 hours ago

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Truelogic Software

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SaaS • B2B • Enterprise

Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.

501 - 1000 employees

Founded 2004

☁️ SaaS

🤝 B2B

🏢 Enterprise

📋 Description

• Design, build, and deploy multimodal AI systems across text, image, audio, and cross-modal retrieval/generation use cases. • Implement, fine-tune, and optimize modern generative architectures including Diffusion Models, Transformers, and GANs. • Collaborate with research, product, and MLOps teams to translate state-of-the-art research into scalable production applications. • Architect and manage end-to-end ML pipelines including data processing, training, evaluation, serving, and monitoring. • Develop and apply model-adaptation techniques such as LoRA, P-Tuning, and full fine-tuning to customize foundation models. • Optimize models for inference through quantization, pruning, distillation, and compilation to improve performance and cost efficiency. • Conduct rigorous experiments and maintain reproducibility standards for models, datasets, and pipeline components. • Stay current with emerging research and propose innovative approaches to improve multimodal system performance.

🎯 Requirements

• 5+ years of machine learning engineering experience, including 1+ year specifically in generative AI or multimodal systems. • Strong practical experience with multimodal models (text-to-image, image-to-text, cross-modal retrieval, etc.). • Deep expertise in either computer vision or NLP with readiness to work across modalities. • Hands-on experience with generative model architectures: diffusion models, transformer-based models, or GANs. • Expert-level Python skills and extensive experience using PyTorch and the Hugging Face ecosystem (Transformers, Diffusers, Accelerate). • Experience deploying and maintaining ML models in production, including serving, scaling, and monitoring. • Experience with cloud ML platforms such as AWS SageMaker, GCP Vertex AI, or Azure ML. • Strong analytical, creative problem-solving, and experimentation skills. • Ability to communicate complex technical concepts clearly to diverse teams.

🏖️ Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.