Senior Data Scientist - Generative AI

Essential functions

• Design and implement end-to-end generative AI solutions including RAG chatbots, LLM-powered BI systems, and coding agents

• Develop and deploy AI agents using frameworks like LangGraph and similar orchestration tools

• Build robust data processing pipelines using LlamaIndex and related libraries for document ingestion and retrieval

• Implement and optimize vector databases for semantic search and retrieval systems

• Integrate multiple LLM providers (OpenAI, Gemini, Anthropic) and evaluate model performance

• Set up comprehensive observability and monitoring using tools like LangSmith

• Collaborate with engineering teams to productionize ML models and AI applications

Qualifications

Generative AI (Minimum Requirements):

• Hands-on experience with LangGraph or similar AI agent frameworks

• Proficiency with LlamaIndex, LangChain, or equivalent data processing libraries

• Experience with vector databases (Pinecone, Weaviate, Chroma, etc.)

• Working knowledge of multiple LLMs and their APIs (OpenAI GPT, Gemini, Claude)

• Experience with LLM observability tools (LangSmith, Weights & Biases, etc.)

• Proven track record in building LLM BI solutions (natural language to SQL)

• Experience developing RAG (Retrieval-Augmented Generation) chatbots

• Experience with coding agents and code generation systems

Traditional AI/ML:

• Strong foundation in clustering, regression, classification, and forecasting

• Proficiency with scikit-learn, PyTorch, TensorFlow

• Experience with statistical analysis and experimental design

• Knowledge of feature engineering and data preprocessing techniques

Would be a plus

Good to Have:

• Fine-tuning experience with LLMs, rerankers, or embedding models

• Self-hosting and deployment of open-source LLMs

• Experience with BERT, transformer architectures, or computer vision models (YOLO)

• MLOps experience with MLflow, Weights & Biases, or TensorBoard

• Cloud platform certifications (AWS, GCP, Azure)

• Strong programming skills in Python

• Experience with containerization (Docker, Kubernetes)

• Knowledge of API development and microservices architecture

• Understanding of prompt engineering and prompt optimization techniques

• Experience with evaluation frameworks for LLM applications

• Familiarity with data privacy and security best practices for AI applications

We offer

• Opportunity to work on bleeding-edge projects


• Work with a highly motivated and dedicated team


• Competitive salary


• Flexible schedule


• Benefits package - medical insurance, sports


• Corporate social events


• Professional development opportunities


• Well-equipped office