Director, AI Engineering (Data Science)
Core
Lead the full lifecycle of AI model development, setting technical strategy, and ensuring cutting-edge machine learning solutions move from concept to production with business impact.
Role type
Senior IC Director of AI Engineering (Data Science)
Builds
Production AI models (custom transformers, foundation models) for marketing, telecom, and client-specific use cases.
Domain
Marketing & Media / Telecommunications / AI Engineering
Deliverable
production ML models
Required skills
Custom transformer architecture design, deep learning (PyTorch, TensorFlow), statistical modeling, causal inference, MLOps, cloud platforms (AWS/GCP/Azure), SQL, executive communication
Preferred skills
Privacy-preserving ML (federated learning, differential privacy), graph neural networks, published research in top AI conferences, real-time streaming ML pipelines, OpenAI embeddings expertise
Technologies
PyTorch, TensorFlow, HuggingFace Transformers, scikit-learn, XGBoost, LightGBM, Spark, BigQuery, Snowflake, Databricks, SageMaker, Vertex AI, Azure ML, Docker, Kubernetes, MLflow, W&B, DVC, Kafka, Flink
Responsibilities
Define technical investments aligned with business objectives; Mentor and manage AI/ML engineers and MLOps teams; Partner with cross-functional leaders to prioritize initiatives; Establish engineering standards and model governance frameworks; Lead technical discovery and solutioning with enterprise clients; Present AI strategy and results to C-suite and senior stakeholders; Drive innovation in attention mechanisms and tokenization strategies; Oversee adaptation of foundation models for proprietary datasets; Ensure statistical rigor in experimental design and A/B testing; Establish production standards for model deployment, monitoring, and automated retraining.
Seniority
Director, hands-on technical leadership
