Predictive Modelling, Sql, Python, graph analytics, experimentation frameworks, anomaly detection

Data Science, Machine Learning, Predictive Modelling, Sql, Python, Generative AI, Feature Engineering, Data Pipelines, End-to-End ML Pipelines

Java, C, Apis, CSS, Sql, HTML, Git, Javascript, Python, Etl, discrete event simulation, data pipelines, mathematical optimization, cloud platforms, AI-assisted development tools, Operations Research

software engineering practices , data wrangling , Python, Analytical pipelines, Machine learning libraries, Code reviews, Mathematical Modeling, Statistics

Databases, Machine Learning, Sql, Python, Data Pipelines, Model Deployment, Analytics Tools, Statistics

S3, Tensorflow, Lambda, Kinesis, Pytorch, Python, AWS, Sql, Kms, MLops, Iam, Containers, cold start, Amazon SageMaker AI, Thompson Sampling, Hugging Face, vector databases, reinforcement learning, IaC, LinUCB, contextual bandits, off-policy evaluation, observability, LangChain, reward design, Step Functions, Exploration, Glue, Athena, CI CD for ML

Python, Java, Q2Q2I, dietary labels, HNSW, Q2I2I, BM25, multi-modal data, graph-based methods, real-time signals, taxonomy tagging, dense vectors, LSH, LLMs, dish attributes, sequence models, U2I, structured metadata, generative retrieval, multi-task deep ranking models, structured knowledge, embedding quality, knowledge-graph features, collaborative filtering

Python, Sql, Google Cloud, ML Operations, Generative AI, R, Large Language Model, LLM-as-a-judge, cloud-native platforms, Retrieval-Augmented Generation, prompt engineering