[3 Days Left] Lead Data Scientist

2 days ago

Bengaluru, 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 1. 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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