Generative AI Tech Lead (Large Scale Text/Speech Models)

We are seeking an accomplished and technically adept Generative AI Tech Lead with deep expertise in the development, optimization, and deployment of large-scale generative AI models, particularly in text and speech
domains. This role involves building foundational models, and creating advanced applications and solutions that address the complex technical challenges of large-scale model development. Your leadership will be instrumental in driving the development of impactful AI technologies, tailored to India’s diverse linguistic landscape.

Key Responsibilities:
• Technical Leadership:
? Lead, mentor, and inspire a team of AI researchers and engineers, fostering a culture of innovation and technical excellence.
? Define and execute the technical roadmap and strategy for generative AI projects, ensuring alignment with organizational goals.
? Architect, develop, and optimize large-scale generative AI models, focusing on foundational models
and their practical applications in text and speech domains.
? Lead the design and implementation of robust training and inference pipelines, ensuring scalability, efficiency, and adaptability, particularly for multilingual and multi-dialectal text and speech models.
? Drive innovation by experimenting with state-of-the-art techniques in NLP, speech recognition, and generative language models, developing solutions that address real-world challenges.
? Refine AI infrastructure to support the deployment of optimized models, with a focus on low latency, high throughput, and cost efficiency, especially for large-scale models with billions of parameters.

? Implement and experiment with advanced optimization techniques such as quantization, distillation, sparsity, and model compression to enhance performance and scalability.

• Model Development & Application:
? Oversee the end-to-end development of text and speech foundational models and their deployment into scalable AI applications and solutions.
? Tackle complex technical challenges related to large-scale model development, including optimization for performance, latency, and resource efficiency.
? Utilize cutting-edge tools and frameworks like PyTorch, TensorFlow, DeepSpeed, and CUDA to build, deploy, and scale AI models and applications capable of handling diverse linguistic data across modalities.

? Lead innovation in advanced NLP and speech processing techniques, including transformers, fine-tuning of language models, and the development of next-generation generative models.

? Develop and integrate model management systems, including version control, reproducibility, and lineage tracking, ensuring robust and reliable AI model deployment.
? Focus on real-time monitoring, model drift detection, and continuous performance enhancement post-deployment, leveraging advanced MLOps practices.

• Infrastructure & Deployment:
? Optimize AI infrastructure for large-scale training and inference, leveraging GPU clusters, cloud platforms, custom hardware configurations, and advanced orchestration frameworks like SLURM and Kubernetes.
? Integrate and tailor advanced MLOps frameworks such as KubeFlow, MosaicML, and Terraform to support robust development, deployment, and monitoring cycles for AI applications.

• Research & Innovation:
? Stay at the forefront of AI research in the text and speech domains, applying new techniques to solve complex technical challenges specific to Indian languages and dialects.
? Lead research initiatives focused on cutting-edge NLP and speech processing innovations, with an emphasis on techniques like sparsity, model pruning, and knowledge distillation to enhance the efficiency and effectiveness of large-scale AI models.
? Foster a culture of continuous experimentation, encouraging the use of emerging AI techniques and frameworks to push the boundaries of what’s possible in generative AI, particularly in the Indian
context.

• Collaboration:
? Collaborate closely with other technical teams to ensure seamless integration of AI models and applications into the broader technology stack, particularly in contexts relevant to India's diverse landscape.

? Work with product teams to translate national and regional needs into technical solutions, ensuring that the AI models and applications developed have practical, real-world impact.
? Foster a collaborative and innovative team environment.

• Project Management:
? Oversee the end-to-end lifecycle of AI projects, from ideation to deployment, ensuring that each project aligns with strategic objectives and delivers measurable outcomes.
? Coordinate with product managers, data scientists, and engineers to ensure the timely and successful delivery of AI solutions.
? Monitor project progress, identifying and mitigating risks, and adjust plans as necessary to meet objectives and deadlines.

Education:
• Ph.D. in Computer Science, AI/ML, or a related field with 5+ years of relevant experience, or an MS with 8+ years of experience in applied AI/ML.

Experience:
• Extensive hands-on experience in developing and deploying large-scale generative AI models and their
applications, particularly in the text and speech domains.
• Proven expertise in high-performance computing, with proficiency in Python, C/C++, CUDA, and the
optimization of NLP and speech models.
• Strong track record in optimizing AI models for training, inference, and real-world applications, with practical
knowledge of tools like DeepSpeed, FSDP, and advanced MLOps frameworks.
• Demonstrated success in leading AI projects and teams, with a focus on delivering innovative solutions in dynamic environments.

Skills:
• Deep understanding of generative AI techniques specific to NLP and speech processing, including transformers and advanced language models.

• Strong programming skills in Python, C/C++, with deep experience in GPU acceleration, CUDA, and kernel-level programming for AI applications.

• Experience with advanced optimization and acceleration techniques, including quantization, distillation, and model compression.
• Proficiency with cutting-edge AI frameworks and tools, including DeepSpeed, FSDP, and advanced MLOps platforms like KubeFlow and Terraform.

• Familiarity with large-scale model management, including version control, model lineage tracking, and real-time monitoring in production environments.

• Exceptional problem-solving abilities with a focus on innovation, efficiency, and the development of scalable AI solutions.
• Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
• Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and driving results.

Preferred Qualifications:
• Experience with developing and deploying speech/text-based large-scale deep models in production environments.
• Familiarity with the latest advancements in NLP and speech processing research, particularly in the context of Indian languages and dialects.
• A strong publication record in top-tier AI conferences or journals is a plus.

Other Terms:
• The position is contractual, full time in nature and subject to periodic performance reviews.