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

Tensorflow, Nlp, Pytorch, Machine Learning Algorithms, Python, Deep Learning, AI-based Predictive Models

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

Pytorch, Api, Python, fine-tuning, quantisation, transformer models

S3, Tensorflow, Nlp, Pytorch, Docker, Python, Redshift, Clustering, Sql, Pig, Deep Learning, Django, Git, Hive, Computer Vision, Anthropic Claude, AWS Bedrock, Azure OpenAI, CNNs, GPTX.x, Sagemaker, Classification, NLU, LangChain, LLMs, Regression, Llama, Transformers, Athena

Python, Big Data Technologies, Software Development, Java, Tensorflow, Apache Hadoop, Machine Learning, MLops, AWS, Pytorch, Kubernetes, Azure, Gcp, Docker, Scala, Spark, Flink, production engineering practices, gRPC APIs

Excel, Python

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