Machine Learning, Pyspark, Databricks, Sql, Python, Deep Learning, Cloud Systems, Large Data Sets, Ai, Data Platforms

process mining , Deep Learning, Nlp, Spark, Databricks, Python, data pipelines, unsupervised ML, ML models, supervised ML

Azure Databricks, Tensorflow, Pytorch, MLops, Python, LangChain, LLM application development, reinforcement learning, CNNs, prompt engineering, LangGraph, enterprise AI security, RAG, NLP techniques, Vision Transformers, Transformer architectures

Pyspark, Machine Learning, Regression Analysis, Azure Databricks, Statistical Modelling, Python, GLM Pricing Models, scikit-learn, MLlib, h2o, Data Analysis

Hadoop, Natural Language Processing, Sql, Tensorflow, Pytorch, Gcp, MLops, Docker, Spark, Keras, Azure, Python, Kubernetes, AWS, LangChain, DSPy

causal inference , prophet , Sql, Tensorflow, Pytorch, MLops, Databricks, Python, Airflow, data pipelines, scikit-learn, PyMC, Stan, Bayesian modeling, R, dbt, Experimental Design, hierarchical models, feature engineering

matching , Sql, Statistical Modelling, Pyspark, BigQuery, Python, data quality checks, feature engineering, GenAI, reusable analytics datasets, orchestration frameworks, embeddings, agentic automation, enterprise ML data tooling, model scoring processes, retrieval augmented generation, anomaly detection, Optimization, vector databases, Regression, data pipelines, Classification, distributed compute, large-scale data processing, model evaluation, dbt, cloud data platforms, model monitoring, prompt engineering, Forecasting

Tensorflow, Pandas, Pytorch, Hadoop, Spark, Sql, Google Cloud, Python, AWS, Scikit-learn

Deep Learning, Github, Pandas, Numpy, MLops, AWS, Python, Scipy, Azure, Gcp, Git, Learning-to-Rank, Semantic Retrieval, Personalization Models, Search Relevance Techniques, Generative AI

Sql, Nosql, Tensorflow, Numpy, Nltk, Pytorch, Pandas, Gcp, Docker, Azure, Python, AWS, LangChain, Generative AI, Hugging Face Transformers, Scikit-learn, MLflow, spaCy, NLP techniques