Senior Data Scientist Engineer

Essential functions

Key Responsibilities

●      Develop and implement LLM-based conversational AI solutions
●      Configure and optimize AI models for specific use cases
●      Troubleshoot and resolve issues related to AI model performance
●      Stay up to date with the latest advancements in LLM technologies and apply them to our projects

Qualifications

Experience with the following LLM-related technologies: ( At least 5 LLM technologies )

1. Chunking

2. Document Parsing and OCR

3. Document Parsing with VLMs (Vision Language Models)

4. Function Calling with LLMs

5. Building Agentic Chains

6. Memory Handling (Conversational Memory) and Tracking / Tracing Software Agents

7. Map Reduce applied to RAG

8. Retrieval Augmented Generation

9. Traditional Search (BM25, NER based parsers, Keyword based search index)

10. Semantic Search (Embeddings, Embedding models)

11. Quantized Embeddings

12. Reference Management

13. Re-ranking references

14. Re-ranking retrieved chunks

15. Multimodal RAG

16. Cost reduction techniques for LLMs

17. Speculative Decoding

18. Speech to Text using Whisper or similar models

19. Text to SQL/Text to Pandas

20. Monte Carlo Tree Search, Tree of Thoughts, Chain of Thoughts, Reasoning Enhancement Techniques for LLMs

Machine Learning Skills

Experience with the following ML techniques: ( At least 3 ML Skills )

1. Fine Tuning using LoRA

2. Merging multiple LoRA adapters using MergeKit

3. Quantising LLMs

4. Quantising LoRA adapters

5. Creating Table Schemas suitable for LLMs

6. Code Folding for Coding LLMs

7. Implementation of Code Interpreters (E.g., E2B Dev)

Required Knowledge

●      Understanding of differences between code-focused LLMs, Completion LLMs, and Chat variants of LLMs

Framework Experience ( At least 3 frameworks )

1. E2B Dev - Code Interpreters

2. DSPY - Automation of Prompt Engineering

3. Lang chain

4. OpenAI APIs, Claude APIs

5. Guidance (For Prompt Following reliability)

6. OpenAI whisper for STT

Would be a plus

●      Strong attention to detail
●      Ability to work independently and as part of a team
●      Excellent communication skills to explain complex technical concepts
●      Proactive learner, keeping up with the rapidly evolving field of AI

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.