Principal AI Data Scientist

🕒 Junho 6

🔔 Pennsylvania – Remoto

🔔 Pennsylvania – Remote

⏰ Tempo Integral

🔴 Especialista

📊 Cientista de Dados

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Anaplan

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2006

☁️ SaaS

🏢 Corporativo

💸 Finanças

💰 Secondary Market em 2018-03

SaaS • Enterprise • Finance

A Anaplan é um fornecedor líder de soluções de planejamento conectado e modelagem de negócios. A plataforma permite que as organizações transformem seus processos de tomada de decisão usando planejamento inteligente, gestão de dados e insights preditivos. A Anaplan atende a uma ampla gama de indústrias, incluindo bens de consumo, serviços financeiros e manufatura, oferecendo soluções personalizadas que aumentam a produtividade e impulsionam a transformação digital. Reconhecida pelo Gartner, Forrester e IDC, a Anaplan é um parceiro de confiança para empresas que buscam melhorar a colaboração e ganhar uma vantagem competitiva por meio de ferramentas de planejamento ágeis e abrangentes.

Descrição

• Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Time Series Forecasting models to solve complex enterprise business and planning challenges. • Architect GenAI solutions, focusing on fine-tuning proprietary and open-source Large Language Models (LLMs) via Transformer architectures for specialized enterprise data tasks. • Design and integrate Conversational AI and autonomous Agentic AI workflows to create intuitive experiences that can independently execute complex planning tasks. • Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems. • Serve as a core subject matter expert, mentoring cross-functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning.

🎯 Requisitos

• Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains. • Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks. • Experience fine-tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain-specific enterprise applications. • Taken responsibility for models from concept to production, utilizing strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments. • High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines. • Strong hands-on experience in traditional Machine Learning and deep learning techniques, specifically including Time Series Forecasting algorithms.

🏖️ Benefícios

• Our commitment to Diversity, Equity, Inclusion and Belonging (DEIB) • Reasonable accommodation for individuals with disabilities • Opportunities to connect, develop, and succeed