Machine Learning, Python, Generative AI, LLMs, Statistical Modeling

Pyspark, Machine Learning, Clustering, Sql, MLops, Time Series, Databricks, Azure, Python, GenAI, Forecasting, Bayesian optimization, Optimisation, Statistical Quality Control, CI CD, Llm, Classification, prediction, Statistical Process Control, Operations Research

? 3–4+ years of recent and dedicated experience in Demand Forecasting (not generic time-series forecasting), ? Experience working with massive datasets (millions to billions of records), ? Expertise in building scalable forecasting solutions for:, ? Strong hands-on expertise in designing and deploying enterprise-scale forecasting models

Java, Ruby, Automation, Python, Systems Engineering Fundamentals

data wrangling , Sqlalchemy, Java, Google Looker, Scala, Sql, Gcp, Flask, Databricks, FastAPI, Python, Big Query, GenAI, Classic ML, ApigeeX, SQLModel, RAG prompt engineering, Agentic AI, R, Google Cloud Storage

linear models , causal inference , Machine Learning, MATLAB, Multivariate Analysis, Sql, Pandas, Python, Statistical Analysis, sampling methods, bidding optimization, R, Data Gathering, differential privacy, incrementality

Sql, Nlp, Gcp, Spark, Azure, Python, Computer Vision, AWS, LangChain, AI Refinery, Generative AI, Crew AI, Retrieval-Augmented Generation, AutoGen, Vector Databases, Agentic AI, Multi-Agent Systems, AI Agent Orchestration, Tool Integration, RAG, Function Calling

Apis, Sql, Python, Agent-based systems, Ai

Python, Sql, ETL processes, Financial Crime Risk, Modelling Data Process Events Objects, Analytical and statistical methods, Banking Products

Pytorch, Matlab, Tensorflow, Python, Kubernetes, Docker, R, MLflow