causal inference , Machine Learning, MLops, Python, Sql, Deep Learning, Mathematical Optimization, Hierarchical Forecasting, Distributed Cloud ML Infrastructure

Large Language Models (LLMs), Solution architecture, Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Nlp, Generative AI, Client Engagement, Statistical Modeling, Technical Proposals, End-to-end Data Science lifecycle, Model evaluation

Data Science, Sql, Python, Machine Learning, Analytics, Ai, Statistical Modeling, Cloud Data Platforms

Sql, scrapy, Pandas, Machine Learning, Numpy, AWS, Nosql, Python, Azure, Gcp, Spark, Analytics, BERT, scikit-learn, Ai, R

bedrock , Kubernetes, S3, Deep Learning, Nlp, Lambda, Docker, Python, Ml, Apis, Aws Services, Version Control, Git, GenAI, Classical ML, LLMs, Ai, EKS, vector stores, SageMaker, LLM fine-tuning, RAG, CI/CD, Athena, ML frameworks

Python, Deep Learning, Tensorflow, Distributed Systems, Machine Learning, MLops, Pytorch, Clustering, Big Data, Predictive Analytics, Spark, Time-Series Forecasting, LLMs, Production AI Systems, Cloud Data Architecture, MLflow, Random Forests, GenAI, Vector Databases, Data Pipelines, Statistical Modeling, AIOps, anomaly detection, Telemetry Analytics

Large Language Models (LLMs), Deep Learning, Tensorflow, Pytorch, MLops, Gcp, Azure, Python, AWS, Generative AI, GANs, T5, LLMs, LLaMA, Hugging Face, GPT, Transformers, BERT, Diffusion models

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

, AWS, Python, Machine Learning, Analytics, Cloud based environments

, Spark SQL, Ml, Personalization, Spark, Price elasticity modeling, Big data systems, Ai, Contextual bandits, Causal uplift modeling, combinatorial optimization, Sequential incremental learning, Machine learning techniques, Off-policy reinforcement learning, Recommendation systems