Lead Machine Learning Engineer

About Truelogic 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. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. Our Client A global digital innovation agency with a 50/50 balance of engineering and creative talent. The organization partners with major enterprises to solve complex problems across emerging technologies, AI, and evolving consumer behavior while delivering end‑to‑end experiences across the full customer lifecycle. Job Summary You will lead the design, development, and deployment of advanced generative AI and multimodal systems. The role focuses on building production‑ready pipelines, architecting next‑generation models, and guiding a team of engineers in pushing the boundaries of multimodal AI across text, image, audio, and video. Responsibilities Architect, develop, and deploy multimodal generative AI systems (text‑to‑image, image‑to‑text, text‑to‑video, audio‑visual models). Lead implementation of vision architectures including diffusion models, vision transformers, and multimodal embedding frameworks. Design and optimize systems integrating LLMs with visual and audio modalities. Build scalable multimodal retrieval systems using vector databases and similarity search. Develop end‑to‑end pipelines for text generation, image synthesis, video generation, and audio/speech synthesis. Mentor and lead ML engineers and data scientists. Collaborate with cross‑functional teams to translate complex requirements into scalable AI solutions. Build and maintain Python libraries and internal ML tooling. Communicate multimodal AI concepts effectively to technical and non‑technical audiences. Qualifications and Job Requirements 7+ years of ML engineering experience. 2+ years specializing in generative AI or multimodal systems. Proven experience deploying multimodal generative AI systems to production. Strong expertise in diffusion models, vision transformers, and multimodal embeddings. Hands‑on experience with LLMs and integration with visual/audio modalities. Experience building multimodal retrieval systems and working with vector databases. Production experience across multiple generative modalities (text, image, video, audio/speech). Leadership experience mentoring ML engineers/Data Scientists. Advanced proficiency in PyTorch and HuggingFace (Transformers, Diffusers). Experience with libraries such as Stable Diffusion, CLIP, timm, torchaudio, torchvision. Strong Python engineering skills for ML tooling. Excellent communication skills. What We Offer 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. Why You’ll Like Working Here A Culture That Values You: We prioritize well‑being and work‑life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally. Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America. Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field. Apply now #J-18808-Ljbffr