Data Scientist
First seen by Alion on Oct 1, 2026.
Location : Mumbai / Bangalore (Mumbai Preferred)
Experience : 2 - 3 Years
Key Responsibilities :
- Develop and deploy Machine Learning, NLP, and Generative AI solutions for business use cases.
- Design and implement text analytics models to derive insights from large volumes of structured and unstructured data.
- Build and optimize NLP pipelines for classification, information extraction, semantic search, and insight generation.
- Develop Document Intelligence solutions leveraging OCR, Vision AI, and Large Language Models.
- Create end-to-end AI solutions, including model development, deployment, monitoring, and post-production support.
- Collaborate with business stakeholders to understand requirements and translate them into scalable AI products.
- Evaluate and implement emerging AI and GenAI technologies to solve business problems.
Required Skills & Experience :
Machine Learning & Data Science :
- Strong foundation in Machine Learning, Statistics, and Applied Data Science.
- Experience delivering ML solutions in production environments.
- Experience handling large-scale datasets (200K+ records).
NLP & Text Analytics :
Hands-on experience in :
- Text Classification
- Named Entity Recognition (NER)
- Information Extraction
- Semantic Search
- Topic Modeling
- Text Summarization
- Insight Generation from Unstructured Text
Experience with :
- BERT
- Sentence Transformers
- Transformer Architectures
- Embeddings and Vector Representations
Generative AI :
- Experience working with Large Language Models (LLMs).
- Understanding of Prompt Engineering and GenAI application development.
- Experience implementing business-focused GenAI use cases.
Vision AI & Document Intelligence :
Experience with :
- OCR Technologies
- Amazon Textract or equivalent tools
- Vision Language Models (VLMs)
- PDF and Document Information Extraction
- Intelligent Document Processing Solutions
Development & Deployment :
- Strong programming skills in Python.
- Experience deploying AI models into production.
- Exposure to APIs, cloud platforms, and MLOps practices.
- Experience supporting and maintaining deployed AI solutions.
Skills
Python, Machine Learning, NLP, Generative AI, Data Science, Prompt Engineering, LLM, Optical Character Recognition, Artificial Intelligence, Data Scientist