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AI Model Development Engineer

AI Model Development Engineer

Canterr, Inc.Hyderabad, Republic Of India, IN
11 days ago
Job description

Role : Staff Machine Learning Engineer - Generative AI - L3

Location : Hyderabad / Hybrid

Notice : Immediate

Experience : 7+ years

What 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 processing

    PF Service History is mandatory

  • Irrelevant Profiles will not be considered;
  • please go through the Job description completely before applying

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