About the Role

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

- Solid 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

- Model deployment experience using

FastAPI / Flask

- 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

- Vector DBs: Pinecone, FAISS, Chroma, Milvus

- FastAPI / Flask

- Docker, Git

- Jupyter Notebook / VS Code

- Cloud (optional)

Project / Domain Exposure Required

- Strong experience in

NLP-based projects

- Exposure to

LLM training, fine-tuning, inference, evaluation, and optimization

- Experience in developing end-to-end ML/NLP pipelines

- 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

📌 Senior Data Scientist (Hyderabad)
🏢 Ailogic Neural Network
📍 Hyderabad