data curation , Pytorch, Python, fine-tuning, training runs, LLMs, DPO, self-verification, evaluation design, synthetic data methods, reinforcement learning, preference optimisation, uncertainty estimation, post-training methods, multimodal understanding, Calibration, RLHF

Deep Learning, Python, few-shot learning, assistive AI agents, large language models, multimodal learning, post-training techniques and evaluations, reinforcement learning, model training and deployment, prompt engineering

Machine Learning, Tensorflow, Agile Development, Spark, Algorithm Design, Programming In Java, MATLAB, R, scikit-learn, MxNet, Mathematics, Statistics, Product Development, MLLib, Statistical Physics Fundamentals, Large Scale Distributed Systems, Neural Deep Learning Methods

Machine Learning, Neural Networks, Deep Learning, Nlp, Computer Vision, agentic AI, experiment tracking, data pipelines, LLMs, Ai, MCP tool orchestration, applied data science, retrieval systems, visualization tools, evaluation frameworks, multimodal models

Machine Learning, Pyspark, Python, Ai, Operations Research, discrete event simulation, applied mathematical techniques, data science tools

Elasticsearch, Machine Learning, Git, Pandas, Pytorch, Sklearn, Databricks, Python, Sql, Deep Learning, huggingface

tokenization , Pytorch, Jax, Deep Learning, Nlp, LLM Pretraining, Foundation Models, Transformer Architecture, Scaling Laws, Distributed Training, Large Language Models, Model Architecture, Megatron, DeepSpeed, GPU Cluster, Machine Learning Research, Llm

simulations , Sql, Python, Matlab, SAS, R, Linear Programming, Integer Programming, Heuristic search

Tensorflow, Jax, Pytorch, Python, Finetuning, Deep learning frameworks, Model optimization techniques, Model efficiency, systems thinking, Algorithmic optimization, RLHF