Data Scientist

Role & responsibilities

Job Summary:

We are seeking a highly skilled C# Developer with expertise in Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Fine-Tuning, and Data Science. The ideal candidate will be responsible for building and optimizing AI-driven applications, integrating LLMs with C# applications, and leveraging data science techniques to enhance AI models.

Key Responsibilities:

• Develop and maintain C# applications, ensuring seamless integration with LLM-based AI solutions.
• Implement RAG (Retrieval-Augmented Generation) strategies to improve AI model responses.
• Fine-tune pre-trained language models using domain-specific data.
• Work with Vector Databases (e.g., FAISS, ChromaDB, Pinecone) to improve information retrieval.
• Design, develop, and optimize machine learning pipelines using Python or C#.
• Implement data processing, feature engineering, and model evaluation techniques.
• Collaborate with data scientists, ML engineers, and software developers to deploy AI solutions.
• Ensure the scalability, security, and performance of AI-driven applications.
• Stay updated with the latest advancements in AI, LLMs, and .NET technologies.

Required Skills:

• Strong programming skills in C# (.NET Core/.NET 6+).
• Experience with Large Language Models (GPT, LLaMA, Falcon, Mistral, etc.).
• Hands-on experience with RAG (Retrieval-Augmented Generation) implementations.
• Expertise in Fine-Tuning LLMs using frameworks like Hugging Face, PyTorch, or TensorFlow.
• Knowledge of Vector Databases (FAISS, ChromaDB, Pinecone, Weaviate, etc.).
• Experience in ML & Data Science (NumPy, Pandas, Scikit-Learn, PyTorch, TensorFlow, etc.).
• Understanding of Prompt Engineering and LangChain for LLM application development.
• Familiarity with Natural Language Processing (NLP) and Transformer models.
• Proficiency in RESTful API development & integration with LLMs.
• Strong understanding of database systems (SQL, NoSQL, PostgreSQL, MongoDB, etc.).
• Experience with cloud platforms like Azure AI, AWS Bedrock, or Google Vertex AI.
• Familiarity with MLOps, Model Deployment (FastAPI, Flask, Docker, Kubernetes).