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# Senior Data Scientist

- **Company:** NEURAL NETWORK PLLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, Standard Sql, Jupyter Notebook, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Flask (Web Framework), Delivery Pipeline, Large Language Models, Prompt Engineering, Git, Fastapi, HuggingFace, Machine Learning Operations, Docker
- **Published:** September 23, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2tu0n4tn

## About the Role

* 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

 * 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

## 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., * 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


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