Lead Data Scientist

Java, Node.js, Sql, Microservices, React, Gcp, Docker, Distributed Systems, Rest Apis, Azure, Kubernetes, Python, AWS, LLMs, GenAI APIs, NoSQL databases, modern JavaScript, CICD pipelines, vector stores, RAG architectures

Pandas, Tableau, Neural Networks, Numpy, Google Maps Api, Controller Area Network Protocol, Svm, Decision Trees, Powerbi, python, Spark, Generalized Linear Models, Boosting, time-series/IoT data analytics, on-board sensors, AWS Sagemaker, clustering techniques, Data Visualization techniques, time series models, unsupervised machine learning algorithms, Market Research data analysis, IBM AutoAI, GPS data, Bayesian Methods, Google AutoML, visualization tools, Cloud Computing Platforms, remote team members

MLops, Sql, Python, GenAI, LLMs, ML frameworks

Tensorflow, Pytorch, React, LLMs, generative AI