cloud platform , MLops, Spark, Api, Sql, airflow

Personalization, Machine Learning, Hadoop, Kafka, Predictive Analytics, Sql, Tensorflow, Pytorch, Gcp, XGBoost, Spark, Statistical Inference, Databricks, Python, AWS, Scikit-learn, User behavior modeling, Recommendation systems, ranking, experimentation

Hadoop, Natural Language Processing, Google Cloud, Sql, Computer Vision, Spark, Python, AWS, GANs, fine-tuning, multimodal generation, Transformers, LLMs, perceptual quality metrics, multimodal learning, deep learning architectures, prompt engineering, generative tasks, R, user-in-the-loop testing, ML evaluation techniques, diffusion models

causal inference , Sql, Tensorflow, Gcp, Pytorch, Predictive Modeling, XGBoost, Azure, Python, AWS, experimentation design, R, Statistics

snowflake , Kafka, Sql, MLops, Spark, Databricks, Python, Airflow, ETA Prediction, Generative AI, LLMs, Feature Engineering, Probabilistic Modeling, Fraud Modeling, anomaly detection, Tree-based Models, Transformers

, Deep Learning, Python, Machine Learning, big data tools, ML frameworks, Applied Statistics

Tensorflow, Pytorch, Python, Graphql, Neo4j, graph-based data modeling, PQ, metadata filtering, Nemotron, natural language query answering, FAISS-based vector indexes, Retrieval-Augmented Generation pipelines, vector databases, HNSW, QLoRA, document chunking, LoRA, IVF, Llama variants, Knowledge Graphs, parameter-efficient fine-tuning, Mistral, Phi