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

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At Truelogic, we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects.

Job Summary

We are seeking a Senior Machine Learning Engineer to lead the development of next‑generation multimodal and generative AI systems. You will work across the full lifecycle — research, experimentation, training, optimization, deployment, and monitoring — to build models that understand and generate content across text, images, and audio.

Responsibilities

• 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.

Qualifications

• 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.

What We Offer

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive.
• Highly Competitive USD Pay exceeding typical market offerings.
• Paid Time Off policies.
• Work with Autonomy: Manage your time as long as the work gets done.
• Collaborate with Top American Companies on high‑impact projects.

Why You’ll Like Working Here

• A Culture That Values You: Prioritizing well‑being and work‑life balance.
• Diverse, Global Network: Connect with professionals across 25+ countries.
• Team Up with Skilled Professionals: Work with seasoned experts.

Apply now!