Machine Learning Engineer

Machine Learning Engineer (GenAI & Multimodal Systems) - Creative Tech Studio (Colombia) We are a leading provider of nearshore staff augmentation services headquartered in New York, with over two decades of experience delivering technology solutions. Our team of 600+ tech professionals based in Latin America partners with U.S. companies to drive digital disruption. 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. This role exists at the cutting edge of applied AI, ideal for someone eager to push boundaries and deliver production‑ready multimodal systems in collaboration with cross‑functional engineering and product teams. 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 and Job 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. What We Offer 100% Remote Work: Work from a location that helps you thrive with just a laptop and reliable internet. Highly Competitive USD Pay: Receive market‑leading compensation in USD. Paid Time Off: Policies to support your well‑being. Work with Autonomy: Manage your time as long as work is delivered. Work with Top American Companies: Gain expertise on innovative, high‑impact projects with industry‑leading U.S. companies. Why You’ll Like Working Here A Culture That Values You: Prioritize well‑being and work‑life balance with engagement activities and dynamic teams. Diverse, Global Network: Connect with over 600 professionals in 25+ countries and collaborate with a multicultural team from Latin America. Team Up with Skilled Professionals: Work alongside senior talent and seasoned experts. Apply now #J-18808-Ljbffr