Amazon CloudWatch, Unsupervised Learning, Deep Learning, Tensorflow, Pytorch, MLops, AWS CloudFormation, AWS, Generative AI, AWS Step Functions, ML algorithms, LLMs, scikit-learn, Machine Learning Engineering, supervised learning, Amazon SageMaker, model observability, Applied Machine Learning, RAG, Amazon Bedrock, Prompt Engineering

Tensorflow, Gcp, Pytorch, Azure, Python, AWS, Generative AI, Prompt engineering, Model monitoring, LLMs, scikit-learn, Drift detection, versioning, ML ecosystems, Experiment tracking, Fine-tuning adaptation techniques

Tensorflow, Gcp, Pytorch, Azure, Python, AWS, Generative AI, Prompt engineering, Model monitoring, LLMs, scikit-learn, Drift detection, versioning, ML ecosystems, Experiment tracking, Fine-tuning adaptation techniques

Distributed Systems, Python, Model performance monitoring, Continuous delivery of ML solutions, MLOps tools

Pytorch, Azure, Aws

triton , Pytorch, Docker, FastAPI, Restful Apis, Kubernetes, Python, Sagemaker, document databases, TensorRT, ML technologies

Deep Learning, Video Codecs, Pytorch, Cuda, Python, Computer Vision, Git, model evaluation frameworks, video processing pipelines, MLOps tools, inference optimization, streaming technologies, MLflow, attention mechanisms, PEFT, continuous experimentation infrastructure, GPU-based training, CNNs, LoRA, Weights Biases, model fine-tuning, Transformers

Tensorflow, Machine Learning, Pytorch, Linux, Python, Pytest, Deep Learning, Transformers