onsite
Director, AI/ML Engineering - Growth Platforms - EY
Software Engineer
Lead AI/ML engineering initiatives for growth platforms, driving end‑to‑end model development, deployment, and scaling on AWS. Collaborate with strategy and execution teams to deliver data‑driven solutions that accelerate business outcomes.
About the role
Key Responsibilities
- Architect and oversee the full lifecycle of AI/ML solutions, from data ingestion and feature engineering to model training, validation, and production deployment on AWS.
- Partner with cross‑functional strategy and execution teams to translate business challenges into scalable data science solutions.
- Mentor and grow a high‑performing engineering team, fostering best practices in code quality, CI/CD, and model governance.
- Drive continuous improvement of data pipelines, model monitoring, and performance tuning to ensure reliability and compliance.
- Communicate complex technical concepts to non‑technical stakeholders, translating insights into actionable business recommendations.
Requirements
- 10+ years of experience in AI/ML engineering, with a proven track record of delivering production‑grade models at scale.
- Expertise in Python, deep learning frameworks (TensorFlow/PyTorch), and AWS services (SageMaker, Lambda, S3, EC2).
- Strong background in data engineering, SQL, and big data technologies (Spark, Redshift).
- Excellent leadership, communication, and stakeholder management skills.
- Experience in a consulting or strategy environment is highly desirable.
Skills
pythonmachine learningdeep learningaws