snowflake , Devops, Azure, ML ops, Qlik Visualization

Sql, Tensorflow, Nlp, Pytorch, Pandas, Gcp, Predictive Modelling, Azure, Python, AWS, scikit-learn, Time Series modelling, Model Deployment

Tensorflow, Pytorch, Pandas, Gcp, MLops, Azure, Python, AWS, Predictive Time Series modelling, Time Series modelling, scikit-learn

data warehouses , Machine Learning, Scipy, Pyspark, Sql, Numpy, Git, Pandas, XGBoost, Data Analytics, Python, Etl, data pipelines, Scikit-Learn, AWS SageMaker

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

data engineering , Sql, MLops, Database Technologies, Shell scripting, Python, AWS, Statistical Modelling, LangChain, reinforcement learning, Vector databases, Optimization, GenAI systems, Transformer models, LangGraph, ELT concepts, R, LLM models, Structured table transformation, AI Engineering, Multi-criteria decision analysis, Neural embeddings, Deep learning algorithms and architectures

Solarwinds, Gcp, Power Bi, Tableau, Python, Sql, AWS, R, ThousandEyes

Python, Sql, Deep Learning, Tensorflow, Google Cloud, Numpy, Machine Learning, Pandas, MLops, Sklearn, AWS, Pytorch, Kubernetes, Azure, Docker, Ibm, Gen-AI applications, Time-series Econometric modeling, LLMOps tooling, Polars

algorithm optimization , technical consultation , Agile & Waterfall Methodologies, Eda, Database Administration, Business Requirement Analysis, Dbms, Production Environment, Continuous Improvement Techniques, model validation, large datasets, Design, Hyperparameter Tuning, Applications Integration, Analysis of Business Problemsandneeds, Collaborate With Engineers