Responsibilities
- Define the AI roadmap aligned with business goals and emerging tech trends.
- Architect, train, and fine-tune AI/ML models, including LLMs, GANs, and deep learning frameworks
(TensorFlow, PyTorch, JAX, etc.).
- Optimize AI pipelines for performance, efficiency, and scalability in production environments.
- Lead, mentor, and scale a team of AI engineers and researchers.
- Work closely with engineering, product, and customer teams to integrate AI into SaaS products.
Requirements
- Strong experience in computer vision, deep learning (CNNs, GANs, transformers), and Generative AI.
- Programming Proficiency: Expertise in Python, TensorFlow, PyTorch, OpenCV, and AI/ML deployment frameworks.
- Experience deploying AI models at scale using AWS, Azure, or GCP.
- Team Management: Proven ability to lead and scale AI teams, drive technical excellence, and mentor engineers.
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