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

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

Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, MlFlow, Dagster, Lake Warehouse architectures, model monitoring

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

Hadoop, Sql, Deep Learning, Tensorflow, Hive, Pytorch, Docker, Elastic Search, Kubernetes, Python, GenAI, Vector DB, LLMs

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