Gen AI Data Scientist
Fractal (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement advanced NLP models focusing on text classification, sentiment analysis, entity recognition, and language translation using machine learning and deep learning techniques.
- Preprocess, clean, and engineer features from large volumes of unstructured textual data to improve model accuracy and performance.
- Collaborate with cross-functional teams to integrate NLP solutions into systems, optimize algorithms, and document methodologies for reproducibility.
Minimum Requirements
- Master's degree in Computer Science, Data Science, Statistics, or related field.
- Minimum 3 years of professional experience in data science with a focus on Gen AI and NLP.
- Strong programming skills in Python or R and expertise in NLP libraries/frameworks such as NLTK, SpaCy, TensorFlow.
- Proficiency in machine learning techniques including supervised and unsupervised learning and experience with deep learning frameworks like TensorFlow or PyTorch.
Ideal Candidate Profile
- Experienced in applying NLP and Gen AI techniques within complex, large-scale data environments to extract meaningful insights from textual data.
- Capable of end-to-end ownership including model development, optimization, evaluation, and cross-functional collaboration for NLP projects.
- Comfortable working with both traditional machine learning and deep learning methods, and integrating solutions into broader software and data engineering systems.