Director, AI Engineering – Data Science

🕒 Abril 23

🦀 Maryland – Remoto

🦀 Maryland – Remote

💵 $180.000 - $240.000 / ano

⏰ Tempo Integral

🔴 Especialista

📊 Cientista de Dados

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Blend360

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🤖 Inteligência Artificial

🏢 Corporativo

💰 $100.000.000 Private Equity Round em 2022-08

Artificial Intelligence • Enterprise • Consulting

A Blend360 é uma empresa de serviços profissionais especializada em soluções de IA, análise de dados e soluções orientadas por dados. Eles trabalham com empresas da Fortune 1000 e grandes marcas empresariais para enfrentar desafios significativos, integrando pessoas e inteligência artificial. A Blend360 foca em vários domínios, incluindo inteligência de negócios, engenharia de dados, ciência de dados, MLOps e governança de dados. Suas indústrias de expertise englobam serviços financeiros, energia, saúde e ciências da vida, varejo, tecnologia, mídia & telecomunicações e viagens & hospitalidade. A Blend360 é reconhecida por suas soluções de IA e dados, tendo recebido prêmios como "Solução do Ano em Capacitação de IA" e sendo listada entre os "Principais Provedores de Serviços de IA Generativa de 2024.

Descrição

• own the full lifecycle of AI model development, setting technical strategy and ensuring that cutting-edge machine learning solutions move from concept to production with business impact at their core. • define the AI roadmap, establish engineering best practices, and champion a culture of rigorous, reproducible, and responsible machine learning. • Mentor, and manage AI/ML engineers, senior data scientists, and MLOps engineers—setting performance expectations and a high-performance culture. • Partner with cross-functional leaders to prioritize initiatives, allocate resources, and measure organizational impact. • Serve as the technical authority on deep learning architecture—personally leading the design and development of custom transformer models.

🎯 Requisitos

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a closely related quantitative field; Ph.D. strongly preferred. • 10+ years of progressive experience in data science and machine learning, with at least 3–5 years in a people management or technical leadership role (Director, Sr. Manager, or Principal Engineer level). • Proven track record of leading high-performing AI/ML engineering teams in a fast-paced, client-facing or product environment. • Deep, hands-on expertise designing and training custom transformer architectures from scratch—not only fine-tuning pre-built checkpoints, but architecting novel attention mechanisms, embedding strategies, and model topologies. • Strong applied data science foundation: feature engineering, statistical modeling, causal inference, and experimental design across large-scale datasets. • Proficiency in Python and core ML/DL libraries: PyTorch (preferred), TensorFlow, HuggingFace Transformers, scikit-learn, XGBoost/LightGBM. • Direct experience with industry datasets in marketing & media (DSP/DMP logs, ad impression data, attribution pipelines, MMM) OR telecommunications (CDRs, network KPIs, subscriber behavior, churn datasets). • Command of SQL and large-scale data platforms: Spark, BigQuery, Snowflake, or Databricks. • Experience owning end-to-end MLOps: cloud deployment (SageMaker, Vertex AI, or Azure ML), monitoring, CI/CD for ML, and model governance. • Exceptional executive communication skills—able to translate complex model behavior into business language for C-suite and client audiences.

🏖️ Benefícios

• medical • dental • vision • 401K • PTO • paid holidays • commuter benefits • spending accounts • life insurance • disability coverage • EAPs