Machine Learning Engineer

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