Nlp, Unsupervised Learning, Sql, Python, Model lifecycle management, supervised learning, AI ML techniques, Risk Scorecard, Optimization, Propensity models

data engineering , Distributed Systems, Big Data, Deep Learning, Constraint optimization, graph algorithms, Statistical ML techniques, Signal Processing

theano , Sql, Java, Deep Learning, Tensorflow, Pyspark, Machine Learning, Data Science, Shell Scripting, Spark SQL, Python, Nlp, Scala, MLOps Tools, GraphDBs, Data Mining Techniques, NoSQL Databases, Go, Time Series Forecasting, Caffe, Torch, Recommendation Engines

Tensorflow, Nlp, Pytorch, Docker, Python, Azure ML, Kubernetes, vector search, SAM, Pinecone, CI CD, Whisper, cloud ML stacks, Vertex AI, video transformers, LLaVA, LangChain, multimodal LLM frameworks, ViT, speech models, BLIP, SageMaker, Cv, FAISS, Weaviate, LlamaIndex

Machine Learning, Deep Learning, Tensorflow, Sklearn, Numpy, Pytorch, MLops, Pandas, Keras, Python, CrewAI, LangChain, Generative AI, Polars, Pinecone, AutoGen, R, ChromaDB, Weaviate, LlamaIndex

causal inference , Tensorflow, Numpy, Deep Learning, Pandas, AWS, Pytorch, Python, Azure, Gcp, MLOps tools, GenAI, Scikit-learn, probabilistic forecasting, cloud platforms, Gradient boosting, Bayesian Methods, Statistical Modeling, time-series forecasting

Tensorflow, Numpy, Pandas, Pytorch, Python, Statistical Analysis, R, Scikit-learn

Deep Learning, Tensorflow, Machine Learning, Scala, Pyspark, Spark, Keras, Python, GenAI, scikit-learn, MLlib

Nlp, Gcp, Spark, Python, Sql, Deep Learning, GenAI, Agentic AI, LLMs, RAG, Transformers