Data Scientist

Grid Dynamics is seeking a Senior Data Scientist with strong expertise in generative AI to design and deploy end-to-end AI solutions. The role focuses on building RAG-based chatbots, LLM-powered analytics systems, and AI agents using frameworks like LangGraph, along with developing data pipelines using tools such as LlamaIndex.

The candidate should have hands-on experience with vector databases, multiple LLM APIs (OpenAI, Gemini, Claude), and observability tools like LangSmith. A solid background in traditional machine learning (regression, classification, clustering) and proficiency in Python, PyTorch, or TensorFlow is also required.

Additional expectations include experience with MLOps, containerization (Docker/Kubernetes), API development, and prompt engineering. Familiarity with fine-tuning LLMs, deploying open-source models, and cloud platforms is a plus.

Responsibilities

• 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
  
  

Requirements

Generative AI (Minimum Requirements):

• 3 -7 Years experience
• 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
  
  

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)
  
  

Nice to have

• 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
  
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.