Jax, Pytorch, Python, Transformer and language model internals, Training and inference workloads

data engineering , traceability , Databricks, Azure, GenAI, data pipelines, model training, LLMOps, GenAI Observability, cloud platforms, Ai, Statistics, Explainability, ML models, AI architecture, Llm, finetuning, ethical AI practices, regulatory frameworks, Anthropic models, OpenAI

data engineering , Apis, Python Programming, Software Engineering, Generative AI, AI workflows, LLMs, RAG solutions

object detection , Natural Language Processing, Deep Learning, Tensorflow, Pytorch, Computer Vision, Opencv, Python, visual attention analysis, image classification, Hugging Face, Audio Processing, multimodal learning, sequence models, speech-to-text, video analytics, Speech Recognition, large language models

Gcp, MLops, Azure, AWS, cloud-based solution architecture, Generative AI, Agentic AI, LLMOps, Data AI solution architectures

Apis, Testing, Ml, backend systems, AI-powered workflows, Operational Excellence, Monitoring, observability, failure handling, tool use retries, state orchestration, fallbacks, Llm