Fullstack Developer

As a skilled AI Engineer, you will demonstrate proficiency in Generative AI & LLMs including GPT-3, Langchain, and LLMs. Your experience in prompt engineering, few-shot/zero-shot learning, RLHF, and model optimization will be essential in developing and implementing generative AI models. Your expertise in Machine Learning & NLP, particularly in Python utilizing frameworks like Hugging Face, TensorFlow, Keras, and PyTorch, will play a crucial role in optimizing LLM performance through fine-tuning and hyperparameter evaluation. A strong understanding of embeddings and data modeling is required for this role. Experience with various databases such as vector databases, RDBMS, MongoDB, and NoSQL databases (HBase, Elasticsearch), as well as data integration from multiple sources, will be beneficial. Your knowledge in Software Engineering, encompassing data structures, algorithms, system architecture, and distributed systems, will enable you to build and maintain robust distributed systems. Hands-on experience with Platform & Cloud technologies like Kubernetes, Spark ML, Databricks, and developing scalable platforms at scale is necessary. Proficiency in API Development, including API design, RESTful services, and data mapping to schemas, will be essential for integrating AI models into scalable web applications. Your responsibilities will include designing, developing, and implementing generative AI models, optimizing LLM performance, collaborating with ML and integration teams, building and maintaining distributed systems, integrating data from diverse sources, and enhancing response quality and performance using advanced techniques. To qualify for this role, you should hold a B.Tech / B.E. /M.Tech / M.E. degree and have a proven track record in building and deploying AI/ML models, particularly LLMs. Prior experience in developing public cloud services or open-source ML software would be advantageous. Knowledge of big-data tools will be considered a strong asset for this position.,