Staff Data Scientist

1 week ago

India Grid Dynamics Full time

The engineer is expected to engage in pre-sales activities, oversee discovery phases of projects, and take on project leadership roles. Additionally, they should have the ability to initiate projects from the ground up and effectively lead the team.
**Responsibilities**
- Python
- Prompt engineering
- Must have 2+ working experience on Gen AI (LLM, RAG, LoRA, Deep learning etc. )
- Best practices for prompt engineering
- NLP
- Understanding of typical NLP problems: classification, NER, summarization, question answering, sentiment analysis, etc.
- Theoretical intuitive understanding of how Transformers work (tokenization, attention, etc).
- Word and sentence embeddings
- Vector search
- Vector databases, performance tuning
- Document chunking techniques
- LangChain, LlamaIndex
- Chain of Thoughts, DSP, and other techniques
- Agents and tools
- Google cloud (GCP)

**Requirements**:

- Preferable, the engineers are expected to have IT services/consulting experience.
- Proficient in developing LLM-powered systems using advanced prompt engineering techniques, RAG and agentic design patterns. Experienced with frameworks like LangChain, LlamaIndex, and DSPy.
- Familiar with evaluation approaches and metrics for different types of LLM-based systems.
- Experienced with keyword and vector search methods, including understanding of their underlying algorithms. Familiar with popular vector search engines.
- Competent in various document understanding models and techniques to parse complex documents and implement effective chunking strategies for RAG systems.
- Familiar with LLM and embedding models fine-tuning techniques.
- Competent in using joint vision-language and generative models to solve various problems related to image generation, visual question answering, and multi-modal search. Familiar with diffusion models and associated techniques like LoRA, Dreambooth, and ControlNet.
- Understanding of the challenges and risks associated with the development of Generative AI systems and how to mitigate them.
- Ability to stay updated with the latest advancements in Generative AI and integrate emerging technologies to drive innovation and improve the performance of AI systems.
- Familiar with Responsible AI principles and Human-AI interaction design best practices.

**Nice to have**
- Proficient in developing LLM-powered systems using advanced prompt engineering techniques, RAG and agentic design patterns. Experienced with frameworks like LangChain, LlamaIndex, and DSPy.
- Familiar with evaluation approaches and metrics for different types of LLM-based systems.
- Experienced with keyword and vector search methods, including understanding of their underlying algorithms. Familiar with popular vector search engines.
- Competent in various document understanding models and techniques to parse complex documents and implement effective chunking strategies for RAG systems.
- Familiar with LLM and embedding models fine-tuning techniques.
- Competent in using joint vision-language and generative models to solve various problems related to image generation, visual question answering, and multi-modal search. Familiar with diffusion models and associated techniques like LoRA, Dreambooth, and ControlNet.

**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

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