zara k. | GenAI Engineer, NLP, LLM Engineer, Machine Learning Engineer (MLE), MLOps, LLMOps
San Francisco, CAOn-siteFull-time
About this role
Zara K.
Gen AI Engineer | LLM Engineer | Machine Learning Engineer | AI Solution Architect | Physical AI Researcher | LLMOps | NLP Engineer | AI/ ML Engineer | Deep Reinforcement Learning | Data Scientist | MLOps | AI Developer
NAMER (US)
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About
• Quick Learner: Ability to pick up new concepts and technologies easily; not limited to what is already known • A multidisciplinary LLM Engineer, GenAI Engineer, Data Scientist, Machine Learning Engineer (MLE), MLOps, LLMOps, (ML)Applied Research Scientist with background in CS & ECE (University of Montreal) • Entrepreneur, Launching Startup (LTI), grants winner(>3M), team builder, working with cross functional teams Artificial intelligence (AI) & Machine Learning (ML), Deep Learning (DL), Reinforcement Learning (RL), Deep Reinforcement Learning (DRL), Deep Q-learning (DQN), Operations Research (OR) Large Language Models (LLMs) & Natural Language Processing (NLP): Pretraining, Fine-Tuning, LangChain, Retrieval Augmented Generation (RAG), Low-Rank Adaptation (LoRA), Chain-of-Thought (CoT), ToT (Tree of Thought), BERT (Bidirectional Encoder), Encoder-Decoder, GPT (Generative Pre-trained Transformer), LLama, LLamaIndex, Copilot, Tokenization, Attention mechanism, Transformer Architecture, Similarity Search, Catastrophic Forgetting, Matrix Factorization, In-Context Learning, Transfer Learning, Hallucination, FineTuning, Prompt Engineering, G-val,Metrics Python (Numpy, Pandas, Matplotlib, Scikit-learn,Spacy, NLTK, Keras,Tensorflow), Matlab,Simulink,C,C++,Assembly Time-series Analysis, Statistical Analysis, Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, Self Supervised Learning, Linear Regression, Decision Trees, Random Forest, KNN, SVM, K-means, Gradient Boosting, XG Boosting RNN, CNN (ResNet, MobileNet), MLP, Generative AI, Autoencoder, XLNet, VAE, Autoregressive Model RL, DRL, DQN, Policy Gradient, MDP, PMDP, RLHF Diffusion Models, UNet NLP (Tran