Aws Lambda, Docker, Terraform, Databricks, Kubernetes, Python, AWS, Api Gateway, Amazon ECS, Amazon EKS, MLflow, Application Load Balancers, Amazon SageMaker, CI CD pipelines

Java, Scipy, Machine Learning, Hadoop, Tensorflow, Numpy, Python, scikit-learn, MxNet, neural deep learning methods, Analytical Techniques, R, Spark MLLib

Machine Learning, Pyspark, Tensorflow, Pytorch, Terraform, Docker, XGBoost, Flask, Microsoft Azure, Python, AWS, BigQuery, Google Cloud Platform, Apache Spark, Sql, Jenkins, Gcp, Databricks, FastAPI, Rest Apis, Azure Machine Learning, Kubernetes, Airflow, MLflow, GitHub Actions, Kubeflow, Vertex AI, LightGBM, Scikit-learn, SageMaker, CatBoost

Apache Hadoop, Machine Learning, Big Data Technologies, Tensorflow, MLops, Pytorch, Gcp, Docker, Spark, Azure, Kubernetes, AWS, LangChain, Hugging Face Transformers, TensorFlow Serving, Flink, gRPC APIs, NVIDIA Triton, TorchServe

Java, Kafka, Emr, Lambda, ECS, Spark, Data Lake, Databricks, Python, AWS, Airflow, EKS, AI-assisted development, data orchestration

Spark, Databricks, Tensorflow, Deep Learning, MLops, Pytorch, Python, gradient accumulation, mixed-precision training, check-pointing, Production Monitoring, masked modeling, contrastive learning, event tokenization, distributed strategies, self-supervised pretraining, positional embeddings, model versioning, automated retraining

Machine Learning, AWS, Pyspark, Pytorch, Generative AI, Senior Consultant

Java, Golang, Apache Flink, Scala, Apache Spark, Kafka, OpenStack, Sql, Presto, Docker, Kubernetes, AWS, Trino, Clickhouse, Apache Pinot

Machine Learning, Sqs, Kafka, Python, deployed ML models, Java or Scala, MLOps tools