Data Scientist
- Grid Dynamics
- 10 - 20 years
- Hyderabad
- 9 days ago
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Job Description
Role & responsibilitiMes
Candiate needs to be 8+ Years of Experience
Details on tech stack
- Python
- Prompt engineering
- Best practices for prompt engineering
- How LLM can be used in applications for a variety of tasks
- 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
- LLM applications development
- LangChain, LlamaIndex
- Chain of Thoughts, DSP, and other techniques
- Agents and tools
- Google cloud (GCP)
Nice to have requirements to the candidate
- 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.
- Familiar with various architecture design patterns for different types of LLM-based applications such as chatbots, text2sql, document understanding, etc. Familiar with various approaches to scalability and cost reduction in Generative AI systems.
- 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.
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: Grid DynamicsLocation(s): Hyderabad
Keyskills: Data Science Lora Natural Language Processing Deep Learning Python
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