Senior Data Scientist

AiLogic Neural Network Pvt Ltd; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

AiLogic Neural Network Pvt Ltd in Hyderabad is seeking data scientists, NLP data scientists, and ML engineers with hands-on experience in ML, NLP, and LLMs to build production-ready solutions.

The role focuses on practical deployment, LLM fine-tuning, RAG pipelines, embeddings, vector databases, and collaboration with cross-functional teams to deliver scalable AI products.

Qualifications

• Bachelor’s degree in a relevant field (B.Tech/B.E/B.Sc/MCA or equivalent).
• Strong Python and ML/DL fundamentals mandatory.
• Experience with NLP techniques and LLMs required.
• Hands-on experience with PyTorch and Hugging Face Transformers.
• Familiarity with embeddings, vector databases and RAG pipelines.

Responsibilities

• Design, train, and optimize ML/NLP models for production use.
• Fine-tune LLMs, evaluate performance, and build prompts.
• Develop RAG pipelines and vector-db based retrieval systems.
• Deploy models using FastAPI/Flask and integrate with production apps.
• Collaborate with engineering, product, and business teams; monitor and improve models.

Skills

Python

ML & DL fundamentals

NLP techniques

LLMs

PyTorch

Hugging Face Transformers

Vector Databases

Data preprocessing

Education

Bachelor’s Degree (B.Tech / B.E / B.Sc / MCA or equivalent)

Tools

Docker

Git

Jupyter Notebook

VS Code

Cloud platforms (AWS/Azure/GCP)

Job description

We are looking for highly skilled and motivated Data Scientists / NLP Data Scientists / ML Engineers with strong hands‑on experience in Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs). The ideal candidate should have practical exposure to building and deploying ML/NLP solutions in production environments, especially involving LLM fine‑tuning, RAG pipelines, embeddings, and vector databases.

Key Responsibilities

• Design, build, train, and optimize Machine Learning and NLP models
• Work on LLM fine‑tuning, inference, evaluation, and prompt engineering
• Develop and implement RAG (Retrieval-Augmented Generation) pipelines
• Build pipelines using embeddings and vector databases (Pinecone, FAISS, Chroma, Milvus, etc.)
• Perform data preprocessing, feature engineering, and dataset preparation
• Optimize models for latency, scalability, and performance
• Deploy ML/NLP models using FastAPI/Flask and integrate with production systems
• Collaborate with engineering, product, and business teams to understand requirements and deliver solutions
• Monitor model performance and ensure continuous improvement through experimentation

Mandatory Technical Skills

• Strong proficiency in Python
• Strong fundamentals in Machine Learning & Deep Learning
• Strong knowledge of NLP techniques
• Experience with Large Language Models (LLMs)
• Hands‑on experience with PyTorch
• Hands‑on experience with Hugging Face Transformers
• Experience with Vector Databases (Pinecone, FAISS, Chroma, Milvus, etc.)
• Data preprocessing, model training, evaluation, and optimization experience

Preferred / Good‑to‑Have Skills

• Knowledge of Docker and containerized deployment
• Version control using Git
• Familiarity with Jupyter Notebook / VS Code
• Exposure to Cloud platforms (AWS / Azure / GCP – optional)
• Understanding of MLOps concepts and CI/CD pipelines (added advantage)

Tools & Technologies

• Python, SQL
• PyTorch, HuggingFace Transformers
• FastAPI / Flask
• Docker, Git
• Jupyter Notebook / VS Code

Project / Domain Exposure Required

• Strong experience in NLP‑based projects
• Exposure to LLM training, fine‑tuning, inference, evaluation, and optimization
• Deployment experience in real‑time production environments is preferred

Educational Qualification

• Bachelor’s Degree (B.Tech / B.E / B.Sc / MCA or equivalent)

Soft Skills Required

• Strong analytical and problem‑solving skills
• Ability to work independently and in a team environment
• Strong communication and documentation skills
• Ability to handle multiple tasks and deliver within deadlines