Job Title: Data Scientist
Skills: Artificial intelligence, Machine Learning, NLP, Gen AI, Python, Rest API, Agentic AI, LLM, RAG, Devops and AWS
Experience: 4+ years
Location: Pune and Hyderabad
Duration: Full time
We at Coforge are hiring for Data Scientist role with following skill sets:
LLM & Generative AI
- Design, build, and deploy
LLM-powered applications
using frameworks such as
LangChain
,
LlamaIndex
, or OpenAI API.
- Develop and optimize
prompt engineering
strategies (few-shot, chain-of-thought, RAG) to improve the accuracy, consistency, and reliability of LLM outputs.
- Implement
Retrieval-Augmented Generation (RAG)
pipelines using vector databases (e.g., FAISS, Pinecone, Chroma, Weaviate).
- Fine-tune pre-trained LLMs (e.g., GPT, LLaMA, Mistral, Falcon, Claude,Gemini) on domain-specific datasets.
- Validate and structure LLM outputs using
Pydantic
models and output parsers to ensure data integrity.
Natural Language Processing (NLP)
- Build end-to-end NLP pipelines for real-world tasks including:
- Named Entity Recognition (NER)
- Text Classification & Sentiment Analysis
- Information & Data Extraction from Documents
- Document Summarization & Question Answering
- Semantic Search & Document Similarity
- Work with the
Hugging Face Transformers
ecosystem to leverage and fine-tune pre-trained models (BERT, RoBERTa, T5, etc.).
- Process large-scale unstructured text data from various sources such as PDFs, emails, scanned documents (OCR), and web content.
Anomaly Detection
- Design and implement anomaly detection systems for various domains, including:
- Financial fraud detection
(unusual transactions, payment anomalies).
- Operational anomalies
(system logs, network traffic, sensor data).
- Text-based anomalies
(unusual document patterns, suspicious NLP signals).
- Apply a wide range of anomaly detection techniques including:
- Statistical Methods:
Z-score, IQR, CUSUM.
- ML-based Methods:
Isolation Forest, One-Class SVM, Local Outlier Factor (LOF).
-
📌 Data Scientist (Pune)
🏢 Coforge
📍 Pune