Staff Machine Learning Engineer- Generative AI
24 hours ago
Experience: 10-12 Years Location: RemoteIntellify Solutions is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you’re passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we’d love to talk.Responsibilities: Lead with vision – Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation.Drive strategy – Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across e-commerce marketplace.Build cutting-edge models – Develop and deploy large language and generative models for multimodal document processing and structured data extraction.Innovate across modalities – Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions.Engineer at scale – Create data pipelines and training workflows that can handle massive, complex datasets.Deploy in the cloud – Use AWS and other platforms to train, optimize, and deploy models into production at scale.Collaborate widely – Work with engineers, product leaders, and business teams to bring AI solutions into real products and customer workflows.Mentor and grow – Guide teammates on advanced ML methods, model architecture, and best practices, elevating the entire team.Stay ahead – Keep up with the latest generative AI and deep learning research, and bring fresh ideas into production.Qualifications: Bachelor’s degree required; advanced degree Masters in Computer Science, Machine Learning, AI, or related field is a big plus.5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision.Strong track record working with large-scale language and vision models (Transformers, GPT, VLMs).Hands-on experience with multimodal data (text, images, 3D).Proficiency in Python and key ML libraries (PyTorch, TensorFlow, pandas, NumPy).Solid grounding in probability, statistics, and optimization for generative modeling.Experience deploying ML and AI models using cloud microservice architecture (AWS preferred).Strong software engineering skills, including object oriented programming, testing, version control, CI/CD best practices and IaC (terraform preferred).A proven ability to communicate effectively with all levels of the organization, from executives to product managers and various stakeholders.Background in manufacturing, supply chain, or related industries is a plus — but curiosity and drive matter more.
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