Data science

 Design and implement advanced machine learning models using Python, TensorFlow,
and PyTorch.
 Develop and optimize transformer architectures, including BERT and other
generative/discriminative models.
 Perform LLM prompt engineering, including Chain-of-Thought techniques to enhance
model performance.
 Design and implement LLM functions and agents, including ReAct Agents, for various
applications.
 Utilize language embeddings and vector stores in Retrieval-Augmented Generation
(RAG) frameworks.
 Collaborate with cross-functional teams to translate business requirements into datadriven solutions.
Qualifications:
 Minimum of 5 years of relevant experience in Data Science.
 Strong expertise in Python and experience with TensorFlow and/or PyTorch.
 In-depth knowledge of transformer design, including experience with models like BERT.
 Proven experience in LLM prompt engineering and the development of intelligent agents.
 Familiarity with language embeddings and their application in vector stores and RAG.
 Graduated from a top-tier institution (IITs, NITs, or equivalent).
Desired Skills:
 Strong analytical and problem-solving skills.
 Ability to work independently and collaboratively in a team environment.
 Excellent communication skills, both written and verbal.
 Passion for staying updated with the latest advancements in data science and machine
learning.