Your role

Solution Design: Collaborate with stakeholders to design and implement effective Generative AI solutions tailored to specific business requirements, ensuring alignment with industry best practices.
Framework Development: Build and enhance frameworks for deploying Generative AI applications, ensuring they are robust, scalable, and optimized for hyper-scaler environments.
LLM Integration: Work extensively with Large Language Models, optimizing their performance for various applications and use cases, while leveraging the capabilities of hyper-scaler platforms.
Deep learning and ML expertise: Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good applied statistics skills, such as distributions, statistical inference & testing, etc.
Hands-On Development: Engage in hands-on coding and development of AI models and algorithms, utilizing the latest tools and technologies in the Generative AI landscape.
Proof of Concept (PoC) Development: Lead the creation of PoCs that demonstrate the capabilities of Generative AI solutions.

Your Profile

Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree is a plus.
Experience: Hands-on experience in AI/ML development, with a strong emphasis on Generative AI technologies in hyper-scaler environments
Technical Skills: Proficiency in programming languages such as Python, TensorFlow, or PyTorch; experience with LLM frameworks and model deployment on platforms like AWS, Azure, or Google Cloud.