Delhi, Delhi, India
Information Technology
Full-Time
InApp
Overview
Job Responsibilities
- Research and Implement cutting edge techniques(Fine tuning, RLHF) in aligning Generative models to specific problem domains.
- Build the necessary tooling for data acquisition, data cleaning, data augmentation, model training and visualization.
- Evaluate and Implement the ML/Deep learning/GenAI models
- Optimize models for production usage and help productize the generation scenarios to a production setting.
- Masters or relevant degree in Data Science.
- 4+ years industry experience working as a Data Scientist on large-scale data science projects, with a proven track record of delivering business value.
- Proficiency in Python or R
- Expertise in statistical concepts and experience with traditional ML libraries such as scikit-learn, stats models and pandas
- Experience in optimization and scaling of ML solutions for real world business use cases.
- Extensive experience with developing and serving large scale Deep learning models across different data domains.
- Proficiency with at least one deep learning library (Pytorch, Tensorflow or Keras) with building and deploying DNN models in production.
- Expertise in NLP, Transformers, Large Language Models, hugging face library. Optimizations around LLM training and serving.
- Experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise
- Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders
- Can easily communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)
- Master’s degree in Data Science/ML/AI
- Certification in cloud platforms such as AWS, GCP, and/or Azure.
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