Lead Data Scientist

2 days ago

Bangalore Division, India US MNC Full time

KEY SKILLS: 8+ years of hands-on experience in AI, GenAI, and data automation , with a proven track record of delivering production-grade solutions at scale Led 3–4 member teams delivering scalable solutions using Python, SQL, and advanced ML/NLP techniques. Architected GenAI-driven systems with LLM integration, focusing on automation, hooks, and intelligent data modeling . Strong mandate in GenAI strategy, implementation, and solution design. Deep expertise in LLMs and GenAI techniques (e.g., prompt engineering, fine-tuning, RAG architectures, evaluation frameworks, conversational AI, classification, summarization) Advanced Python and SQL skills for building scalable AI and automation pipelines Strong background in automation and applied analytics, ideally in tax, finance, or highly regulated industries Experience deploying AI in cloud-based data environments (e.g., Snowflake, dbt, Airflow, Databricks) Ability to translate complex AI capabilities into intuitive, high-impact tools for non-technical users Strong communication and leadership skills—you can influence at all levels, from hands-on teams to executives Strong Communication & Clarity of Thought Excellent communication skills with the ability to clearly explain complex projects, methodologies, and outcomes. Can articulate the business problems being solved , the rationale behind chosen approaches, and the impact of delivered solutions in a structured and concise manner. Model Selection & Justification Demonstrates the ability to evaluate and select models by considering cost, scalability, and computational efficiency . Capable of reasoning why a particular model or Gen AI technique was applied over alternatives, balancing accuracy, business value, and resource trade-offs . Strategic Guidance on Gen AI Best Practices Hands-on experience in advising organizations on best practices for leveraging Generative AI tools . Provides thought leadership in areas such as prompt engineering, fine-tuning, data preparation, model evaluation, and responsible AI usage . Ensures compliance with ethical AI guidelines, governance, and data privacy considerations . Cross-functional Collaboration & Leadership Works closely with business stakeholders to translate business challenges into AI-driven solutions . Guides developers and data scientists on designing, building, and deploying scalable Gen AI or data science solutions . Plays a mentorship role, fostering skill development within the team. Proven Hands-on Experience (optional to include if relevant) Experience in implementing advanced AI/ML techniques such as large language models (LLMs), NLP, multimodal AI, or reinforcement learning. Track record of delivering projects that demonstrate measurable business impact through Generative AI.

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