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