Machine Learning, Python, Tensorflow, Pytorch, Scikit-learn

Machine Learning, Python, GPU-backed services

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

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

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

containerization , Orchestration, Python, Cloud Computing, ML frameworks, data processing frameworks, model serving

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

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