AI Lead / Principal Engineer

Responsibilities:

• Technical Leadership:  Define the AI vision and technical direction; establish best practices for the Generative AI team.
• Strategy & Roadmap:  Shape and execute the AI strategy, identifying high-impact use cases.
• Model Development:  Design, build, and deploy advanced generative and large language models (LLMs) for multimodal document and data processing.
• Multimodal Innovation:  Integrate text, image, and 3D data for intelligent, automated solutions.
• Scalable Engineering:  Build and maintain large-scale data pipelines and model training workflows.
• Cloud Deployment:  Train, optimize, and deploy AI models using AWS and modern MLOps practices.
• Collaboration:  Partner with engineering, product, and business teams to embed AI into real-world products and workflows.
• Mentorship:  Guide and upskill team members on ML architecture and best practices.
• Research:  Stay current with the latest generative AI, deep learning, and multimodal model research.

Qualifications:

• Bachelor’s in CS/ML/AI or related field; Master’s or PhD preferred.
• 5+ years of experience in ML/Data Science with focus on generative AI, LLMs, or computer vision .
• Expertise in large-scale Transformer-based models (GPT, VLMs) .
• Experience working with multimodal datasets  (text, images, 3D).
• Strong proficiency in Python  and libraries like PyTorch, TensorFlow, NumPy, pandas .
• Solid foundation in probability, statistics, and optimization .
• Hands-on experience deploying ML models using cloud microservices (AWS) .
• Strong software engineering  background — OOP, testing, version control, CI/CD, and IaC (Terraform) .
• Excellent communication and stakeholder management skills.