Director, AI Engineering – Data Science

🕒 April 23

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $180k - $240k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

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