Develop and optimize Diffusion models at scale for improved generative capabilities.
Multi-modal Alignment :
Work on aligning multi-modal data (e.g., text, image, and other forms) for seamless integration in generative tasks.
Fine-tuning LLMs with RLHF :
Apply Reinforcement Learning from Human Feedback (RLHF) to fine-tune Large Language Models (LLMs) for specific tasks or domains.
Sparse Attention Mechanism Engineering :
Design and implement Sparse Attention Mechanisms to improve the efficiency and scalability of generative models.
Training Foundational Models :
Lead efforts in training foundational models from scratch , focusing on enhancing the model's performance and capabilities.
Latent Space Manipulation :
Work on latent space manipulation and controllability in Generative Models , ensuring flexibility and control over model outputs.
Required Qualifications :
Bachelor's or Master's degree in Computer Science , Software Engineering , or a related field.
7-10 years of relevant work experience in software development with a strong focus on Generative AI applications.
Proven expertise in Diffusion Models , LLM Fine-tuning , Sparse Attention Mechanisms , and Reinforcement Learning .
Experience in training foundational models from scratch and handling latent space manipulation .
Strong communication and collaboration skills to work effectively in cross-functional teams.
Preferred Skills :
Experience with advanced AI / ML frameworks and tools.
Expertise in scalable AI systems for large data sets.
Ability to collaborate with research teams and stakeholders to drive innovation in Generative AI solutions.
Skills Required
Software Development
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Ai Tech Lead • Bengaluru / Bangalore
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