Job
Description
GenAI expertise: Prompt Engineering, Agent based architectures, RAG, Transformer architectures, Fine tuning LLMs, Model optimization techniques, Deployment Strategies for AI models on AWS infrastructure. LangChain or similar frameworks. AWS Bedrock - MANDATORY AND HIGH EXPERTISE API development on AWS: Able to expose APIs in AWS using API gateway, Lambdas, RDS, DynamoDB, Redis, Route 53 etc. AWS CDK or CFT Code Deploy, Code Build Comfortable with handling and processing data from spreadsheets, SQL (RDBMS), other APIs, S3 and data platforms In addition: Solid pedigree in AI/ML Even before the advent of GenAI. Regression, Classification, Clustering, Ensemble Methods, Dimensionality Reduction, Anomaly Detection, etc. Neural networks - ANNs, CNNs, RNNs, LSTM, GRUs,Transformers, GANs, VAEs Reinforcement Learning Solid Math foundation – Linear Algebra, Calculus, Statistics. Python and related ML frameworks like Scikit-learn, TensorFlow, Keras, PyTorch, MXNet, XGBoost, etc. Has implemented multiple real world enterprise AI projects for at least past 8 years. Will need to rapidly prototype proof of concepts Excellent communication and articulation skills – should be able to explain complex technical concepts to senior management. Willing to work late hours (to have a partial day overlap with US PST time zone) Immediate- Serving NP until month end
