Senior Data Scientist

SANOVA CONSULTING

5 - 7 years

30 - 40 Lacs

bengaluru

Posted:6 hours ago| Platform:

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Skills Required

vector db graph db neo4j llm fine-tuning python speech-to-text models text-to-sql models peft neural networks r yolo lora llm training image models

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking an experienced and highly skilled Sr.Data Scientist to join our dynamic team
In this role, you will play a critical role in developing, training, fine-tuning LLM Models
The role is an intersection of AIML, Generative AI and Technology
You will be required to develop key integrations with RAG, develop modules and solutions for Agentic AI Platform as well as train/fine-tune models on proprietary data
While the role would be a combination of AI and Tech it is highly weighed toward AI
You will be involved in developing innovative solutions to complex business problems
You will collaborate closely with cross-functional teams to extract actionable insights from large and diverse datasets, enabling the company to make informed strategic decisions
Develop and implement advanced statistical, ML/AI, and LLM models to solve complex business problems and optimize performance
Fine-tune and train domain-specific LLMs, including multi-modal (text, speech, vision, image) models
Hands-on experience with fine-tuning LLMs using LoRA, PEFT, or similar methods
Design and implement RAG systems and GenAI architectures (e.g, Knowledge Graphs, modular agent architectures) for enhanced agent outcomes
Translate GenAI problems into AI/ML problem statements and design optimal solution architectures
Read, interpret, and implement complex academic research, adapting it into scalable, enterprise-ready AI systems
Collaborate with academic and research partners to co-develop innovative solutions, publish findings, and integrate cutting-edge methods
Lead end-to-end data science pipelines: data collection, cleaning, feature engineering, model development, validation, deployment
Explore and analyze large datasets to derive insights and inform business strategies
Build cost-optimized, scalable AI solutions across multi-cloud environments
Apply MLOps/LLMOps practices for model lifecycle management and continuous improvement
Collaborate with cross-functional stakeholders to align AI solutions with business objectives
Mentor and guide junior data scientists, contributing to team growth and capability building.

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