We are seeking a dynamic person to join our AI and Data Science team. This position will work on delivering innovative AI and data-driven solutions.
The candidate must have strong ML fundamentals, Hands-on experience on GenAI and RAG. On the other hand we’re looking for good engineering skills (Python, Docker etc.) and exposure to cloud technologies is a plus.
Required skills
Generative Ai :
Particularly retrieval and reranking
Working Experience of different indexing algorithms ( Flat / HSNW)
Experience in working with different LLM based Embedding Models ( ada / bge etc)
LLM Parameter tuning experienceExperience of different prompt engineering techniquesPython :
Experience with OOps PythonExperience with Type hintingExp with API Frameworks like Flaks / Fast APi is a must.Experience with Docker is importantArtificial Intelligence :
Experience with Different use-cases (Multi-class / MultiLabel classification) in NLP is Important.Experience in Transformers architecture is Important.Working Understanding of attention and implementation of transformers.Working Understanding of Embeddings ( Word2Vec / Encoder based EMbeddings) is a must.Experience with different cost function / Optimization algorithms in Deep Learning.Cloud Providers Aws
AWS : Sagemaker / ECS / S3 / LambdaMachine Learning Generics :
Candidate should have used or work on :Transformers
RNN (LSTM / Bi-LSTM)
Candidate should have knowledge on Machine Learning basics like Linear and Logistic Regression / Random forestsUnderstanding of ML / NLP metrics like (Precision / RecallF1 score)Hyper Parameter tuning , model training / selection