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

Java, Machine Learning, Data Modeling, Reactjs, Python, Aws, Docker, Kubernetes

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

vectorization , Microservices, Python, Apis, LLM optimization, Agent-based orchestration, Data Lakehouse, Multi-LLM Strategy, Model gateways, semantic search, AI Governance, Taxonomy Governance, GenAI Development Integration, Document parsing, Observability frameworks, Cost Optimization, Knowledge Artifacts, Prompt engineering