AI / ML Engineer
Yellow.ai
Date: 4 days ago
City: Bengaluru, Karnataka
Contract type: Full time

Responsibilities
- Apply machine learning, NLP, and deep learning methods to unstructured data sets and complex systems.
- Conduct individual and collaborative R and D initiatives centered around NLU, LLMs, with a special focus on LLM fine-tuning, security, explainability, and governance.
- Research and evaluate groundbreaking approaches to NLU and LLM-related problems.
- Develop new algorithms and methods for optimizing our existing LLM.
- Investigate and solve exciting and difficult challenges in machine learning, classification, data science, content analysis, and deep learning.
- Partner with Product and various platform teams to identify, highlight, and integrate new opportunities, ensuring the timely delivery of pivotal projects leveraging LLM, RAG, and AI/Generative AI technologies.
- Provide technical leadership and mentorship to mid/junior-level team members.
- BS/MS or PhD in AI or Natural Language Processing, mathematics, or a science field with a strong data/ML component; or equivalent related professional experience.
- Proven experience in NLP research, with a special focus on large language models (LLM).
- Hands-on experience with LLMs, fine-tuning, model safety, and security considerations.
- Ability to work closely with the product team to identify and implement differentiating features within LLM and RAG solutions to create unique and compelling product offerings.
- Ability to identify and implement emerging technologies in the AI/ML landscape.
- Experience in architecting, developing, and successfully deploying complex, large-scale ML/AI systems with a strong focus on model explainability, governance, and document search and retrieval.
- Knowledge of machine learning algorithms such as dimensionality reduction (PCA, SVD, UMAP, t-SNE), RNN/LSTM, convolutional neural networks, attention-based transformers, GANs, BERT, GPT-3 OpenAI, Hugging Face Transformers, and text generation models like T5 and XLNet.
- A strong aptitude for mathematics, particularly algebra and statistics.
- Experience with SciKit-Learn, Keras, PyTorch, and TensorFlow in building multilayer NNs, etc, and other ML libraries.
- Develop NLP / NLU modules using Spacy, Stanford NLP, Machine Learning, Huggingface, TensorRT, Distributed GPU Training, and Quantization.
- A team player who thrives when facing challenges.
- Experience architecting, developing, and successfully delivering complex, large-scale systems.
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