Data Science, Functional Requirements, Confluence, User Stories, Agile, Scrum, Jira, Product Management, Acceptance Criteria

Ml, Spark SQL, Personalization, Data Science, Spark, Price Elasticity Modeling, Off-Policy Reinforcement Learning, Machine Learning Techniques, Ai, Causal Uplift Modeling, Sequential Incremental Learning, Recommendation Systems, Contextual Bandits, discounting, combinatorial optimization, Pricing, Big Data Systems

data engineering , systems design , Sql, Deep Learning, MLops, Machine Learning, Databricks, Python, AI machine learning tools, Experimental Design, Vertex AI, Operations Research, Applied Optimization, Model Life Cycle Management, Analytics across functions

S3, Machine Learning, Power Bi, Data Warehousing, Tableau, Data Modeling, Redshift, Sql, Lambda, Data Privacy, Python, AWS, GenAI, Airflow, data quality testing, IaC, R, Security, dbt, Glue

Machine Learning, Deep Learning, Nlp, MLops, Python, Computer Vision, Generative AI, LLMs, LLMOps, Optimization, RAG AI Agents, cloud AI platforms, modern AI frameworks, scalable AI architectures

Data Science, Jira, MLops, Databricks, Model deployment, RAG systems, LLMs, Vector databases, MLflow, Guardrails, ML architecture, ML pipelines, AI governance, Vector retrieval, Fivetran, Feature data workflows, Observability, Inference architectures, Monitoring

Data Modelling, Computer Vision, data drift, Analytics

causal inference , Machine Learning, Tensorflow, Data Science, Nlp, Pytorch, MLops, Python, Computer Vision, LangChain, Generative AI, Price Elasticity Modeling, Recommendation Engines, Ai, Vector Databases, Personalization Systems, RAG Architecture, Optimization Techniques, Transformers, Uplift Modeling, pricing optimization, LlamaIndex, Knowledge Graph