Sr Data Scientist-Innovation lab

Job Description

Sr Data Scientist

Job Responsibilities :

• LLM Architecture : Good understanding of the architecture underlying large language models, such as Transformer-based models and their variants . Design and implement deep learning model architectures using PyTorch.
• Language Model Training and Fine-Tuning : Experience in training  large-scale language models from scratch, as well as fine-tuning pre-trained models on domain data.
• Data Preprocessing for NLP : Skilled in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encoding.
• Transfer Learning and Adaptation : Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs.
• Data Annotation and Evaluation : Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics.
• Scalability and Deployment : Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment.
• Model Training, Optimization, and Evaluation :  Evaluate the performance of PyTorch models using appropriate metrics and techniques like cross-validation, holdout sets, or online evaluation. This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, Information retrieval and extraction etc.
• Experimentation with Emerging Technologies and Methods : Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools.
• LLM Alignment : Understanding of algorithms like DPO, PPO, KPO, RLHF and using it for guardrails.
• AI Data Retrieval : Data retrieval from unstructured data, extract key value pairs using techniques like donut, layoutLM, table transformers.
• Analyze data and build EDAs to identify data patterns Hands-on and strong understanding of concepts in Deep Learning and NLP Proficient in TensorFlow and similar libraries.

Required Qualifications

Additional good to have qualifications :

Requirements

DataScience LLM GenerativeAI NLP PyTorch TensorFlow MachineLearning DeepLearning ArtificialIntelligence HuggingFace RLHF AIAlignment CloudAI