Machine Learning Engineer

2 weeks ago


New Delhi, India Canterr, Inc. Full time

Role: Staff Machine Learning Engineer - Generative AI - L3Location: Hyderabad / HybridNotice: ImmediateExperience: 7+ yearsWhat You’ll Do- 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 Xometry’s 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.What We’re Looking For- A bachelor’s degree is required; an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a 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, and 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.Note: Associates from product-based organizations are preferred.Associates should complete the interview process within in 2 or 3 days after processingPF Service History is mandatoryIrrelevant Profiles will not be considered; please go through the Job description completely before applying



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