S3, Machine Learning, Pytorch, Docker, Sqlite, XGBoost, Postgres, Python, AWS, Matplotlib, Sql, Jenkins, Pandas, Information Retrieval, ML Pipelines, HuggingFace, LabelBox, OpenSearch, MosaicML, LightGBM, Amazon EKS, Scikit-learn, DVC, Transformers, NVIDIA NeMo, Jupyter

Machine Learning, data mining, Deep Learning, Tensorflow, MLops, Gcp, Pytorch, Databricks, Azure, Python, AWS, scikit-learn, data processing transformation tools, cloud environments, Optimization, big data infrastructures, CI CD for ML monitoring

Deep Learning, Databricks, Tensorflow, MLops, Machine Learning, AWS, Pytorch, data mining, Python, Azure, Gcp, cloud environments, scikit-learn, CI CD for ML monitoring, Optimization, big data infrastructures

Java, Graphql, Scala, Kafka, TigerGraph, MLops, Neo4j, Docker, Spark, Kubernetes, Python, AWS, Airflow, pgvector, Qdrant, Go, MLflow, Flink, Neptune, Kubeflow, Milvus

AWS, Sql, Databricks, Deep Learning, Machine Learning, MLops, Python, Azure, Cloud Architecture, LLMs, Evaluation frameworks, Graph modelling, RAG systems, MLFlow, Identity Access Graph

Sql, Databricks, Deep Learning, Python, Machine Learning, Graph Modelling, Identity Access Graph, Knowledge Graphs

data engineering , Sql, Python, Hadoop, Pyspark, Spark, Big Data processing frameworks

Sql, Keras, Tensorflow, Kafka, BigQuery, Pytorch, Python, Spark, Google Cloud Platform, Automated training pipelines, GitHub Actions, CI CD, experimentation, retraining, model monitoring