onsite
CTIO AI Engineering Manager - PwC
Engineering Manager
Lead a high‑performing AI engineering team to design, build, and deploy scalable data solutions using Python, ML, and cloud technologies, driving actionable insights for enterprise clients.
About the role
Key Responsibilities
- Architect and oversee end‑to‑end AI and data engineering pipelines that transform raw data into production‑ready models and dashboards.
- Mentor and grow a multidisciplinary team of data scientists, ML engineers, and data engineers, fostering a culture of continuous improvement and innovation.
- Collaborate with product, analytics, and client stakeholders to define requirements, prioritize features, and deliver high‑impact solutions on schedule.
- Ensure robust governance, security, and compliance across all data assets, leveraging AWS services and best practices.
- Drive adoption of modern tooling (Python, SQL, ML frameworks) and promote reproducible research and model monitoring.
Requirements
- 10+ years of experience in data science, ML, or data engineering, with at least 5 years in a leadership role.
- Deep expertise in Python, SQL, and cloud‑native data platforms (AWS, S3, Redshift, SageMaker).
- Proven track record of delivering production‑grade ML models and data pipelines at scale.
- Strong communication skills and ability to translate complex technical concepts to non‑technical stakeholders.
- Experience with Agile methodologies and cross‑functional team collaboration.
Skills
pythonmachine learningawssql