Nlp, Pytorch, Python, Prompt engineering, RAG architecture, transfer learning, production AI solutions, Hugging Face, LLM fine-tuning techniques, model deployment, PEFT adapters, LoRA, Transformers, LLM orchestration, Transformer architectures

Retrieval-Augmented Generation (RAG), C#, C++, Clustering, Deep Learning, Numpy, Pytorch, Pandas, Decision Trees, Python, Etl, LangChain, Ensembles, CNNs, LangGraph

memory allocation policies, parallel processing architectures, profiling code, neural network architectures, NPU micro-architecture, TensorFlow Lite, ONNX Runtime, performance monitoring tools, model optimization and compression techniques, deep learning fundamentals, NPU-specific compilers, Windows Performance Toolkit, PyTorch Mobile

Machine Learning Algorithms, Python Programming, Prompt engineering, Data pipelines, Feature engineering

Cuda, Ubuntu, Python Scripting, Tensorflow, Deep Learning, Test automation, Yocto, Pytorch, Opencl, Performance profiling, Optimization, hip, Linux expertise, ROCm validation

System Design, Application Development, Python, Testing, Databricks, Kubernetes, Cloud-native deployment patterns, Operational stability for ML or data-intensive systems, CI/CD, Containerisation

Cuda, Python Scripting, Tensorflow, Test automation, Pytorch, Opencl, Deep Learning, Yocto, Ubuntu, Performance profiling, hip, ROCm validation, Linux expertise, LLMs, Optimization

FastAPI, Kubernetes, Python, Docker, PostgreSQL, agent memory systems, context management strategies, platform-level engineering standards, Ragas, prompt lifecycle management, LLM engineering, Azure OpenAI, RLHF, RAG pipeline architecture, LLM evaluation and observability practices, LangChain, pgvector, financial close Record-to-Report accounting, model fine-tuning, LangGraph

developing production-grade backend services using Python, observability and monitoring tools, relational and non-relational databases, infrastructure-as-code, cloud provisioning frameworks such as Terraform or CloudFormation, identity and access management technologies, container orchestration such as ECS Fargate, secrets management, pipeline automation with Azure DevOps, networking and load balancing, LLM API gateway technologies, asynchronous programming frameworks, multi-provider integration across major cloud AI platforms, containerisation with Docker