Data Structures, Deep Learning, Tensorflow, Algorithms, Nltk, Pytorch, Agile, Keras, Scrum, Python, Hugging Face, Software Engineering Principles, Generative AI models, SpaCy

Compliance, Architectural Design, model validation, AI ML models, AI governance frameworks, ethical use standards, AI ML techniques, AI ML systems design, development tools and platforms

Pyspark, Azure Databricks, ELT, Tensorflow, Pytorch, Gcp, Docker, Azure, Kubernetes, Python, AWS, Etl, data pipelines, scikit-learn, Delta Lake, data lakehouse architecture, Machine Learning algorithms and techniques

Ml, Ai, Functional Role

C, Lvm, Design Patterns, Cpu, Windows, Gpu, Pytorch, Python, Java, Cuda, Linux, Os Concepts, Opencl, Kernel Development, Llm, object-oriented software development, TFLite, NPU, Generative AI models, AI hardware accelerators, Fixed-point representations, Quantization concepts, ONNX Runtime, SIMD processor architecture

Machine Learning, Neural Networks, Clustering, Deep Learning, Python, LSTMs, Root Cause Analysis, AI System Design, Regression, RAG Systems, GNNs, CNNs, Supervised Classification, Time-Series Forecasting, Transformers, Deep Reinforcement Learning, Knowledge Graphs, Unsupervised Anomaly Detection

Distributed Computing, Debugging, Python, Tensor Processing Units, Generative AI, Data Processing, model deployment, Graphics Processing Units, Machine Learning infrastructure, model evaluation, Multi-Modal Large Vision Models, Large Language Models