Natural Language Processing (NLP), Large Language Models (LLMs), Numpy, Pandas, Pytorch, Pyspark, Unix/Linux, Python, AWS, Transformers

snowflake , Java, Machine Learning, Distributed Systems, Hadoop, C++, Big Data Technologies, Spark, Python, Sql

Retrieval Augmented Generation (RAG, Large Language Models (LLMs, Python, Sql, Clustering, Java, Tensorflow, MLops, Pytorch, Predictive Modeling, XGBoost, ranking, CI/CD, Fraud Detection, Go, Scikit-learn, vector databases, embeddings, Classification, Forecasting, recommendation systems

Git, Python Programming, Lang Chain and Lang Graph, Experience with Lang fuse, Understanding of agentic design patterns and workflow orchestration, Working with Databricks and modern data platforms, Prompt engineering and context engineering, RAG embeddings semantic search

Machine Learning, Kafka, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, C++, Apache Spark, Software Engineering, Time Series Analysis, FastAPI, Kubernetes, Go, Flink, GRPC, LLMS RAG pipelines, CI/CD for ML, LangChain, Forecasting, Triton Inference Server, Vector databases, anomaly detection

Machine Learning, Databricks, Python, Sql, Deep Learning, Graph Modelling, Knowledge Graphs, Identity Access Graph

data wrangling , Scikit, Github, Sql, Cuda, Tensorflow, Nltk, Numpy, Git, Pandas, Gcp, Spark, Keras, Python, AWS, Deep learning architectures, Testing metrics, Feature engineering, R, cuDNN, Software engineering fundamentals, Data query and data processing

data engineering , Python, Numpy, Pandas, Pytorch, scikit-learn

Machine Learning, Recommender Systems, Tensorflow, Numpy, Pandas, Pytorch, Gcp, Docker, Microsoft Azure, Kubernetes, AWS, scikit-learn

Video Codecs, Cuda, Pytorch, Python, Computer Vision, Git, video processing pipelines, model evaluation frameworks, inference optimization, MLOps tools, MLflow, streaming technologies, deep learning frameworks, attention mechanisms, PEFT, continuous experimentation infrastructure, CNNs, GPU-based training, LoRA, Weights Biases, Transformers