model design , causal inference , Machine Learning, Tensorflow, Pytorch, Python, Data Processing, model training, Operations Research, reinforcement learning, time-series forecasting, spatio-temporal modeling, feature engineering

Kafka, Grafana, Datadog, Sql, Rabbitmq, Gcp, Docker, Sqs, Flask, FastAPI, Rest Apis, Python, AWS

Java, Hadoop, Scala, Devops, Spark, Python, Etl, ML algorithms, data management technology, Relational Databases, cloud-based AI platforms, non-relational databases

Azure Databricks, Kubernetes, Python, Sql, AI Foundry, AI Search

Machine Learning, AWS Glue, Sql, Azure Data Factory, MLops, Docker, Spark, Databricks, Predictive Analytics, Kubernetes, Python, Airflow, Generative AI, Feature Engineering, LLMs, model validation, AI Foundation Models

Java, Performance Tuning, Hadoop Ecosystem, Kafka, Hive, Shell scripting, Spark, Python, Real-time data processing systems, ML model operationalization, Flink, Iceberg, Transformation frameworks, Data ingestion, Trino, NiFi, Cloudera Machine Learning

model selection , Version Control, Testing, Tensorflow, Pytorch, Python, evaluation techniques, data preprocessing, Documentation, mathematical concepts, agentic workflows, LLM orchestration frameworks, AI agents, feature engineering

bedrock , BigQuery, Sql, Tensorflow, Pandas, Pytorch, Gcp, Terraform, Kubernetes, Python, AWS, Airflow, GKE, scikit-learn, Pub Sub, SageMaker, Cloud Run, Vertex AI, Kubeflow, Vertex Pipelines

Distributed Systems, Spark, Python, Airflow, data pipelines, workflow orchestration, model deployment, Flink, production data infrastructure, data infrastructure, production system reliability, Production Support, inference monitoring, ML systems