Generative AI Engineer
Canterr, Inc.
- Location
- Hyderabad, Telangana, India
- Job type
- Full-time
Required skills
- Python
- AWS
- computer vision
- data science
- deep learning
- machine learning
- NumPy
- Pandas
- statistics
- TensorFlow
- Terraform
- version control
- Pytorch
About the role
Canterr, Inc.
Website:
canterr.com
Job details:
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 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.
Qualifications:
- Bachelor’s degree required; advanced degree (M.S. or PhD) 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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