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AI Engineering Lead – Senior Manager – Commercial Technology & Innovation

pwc

Senior 🇬🇧 English
Python C++ Java TensorFlow Scikit-Learn AWS Google Cloud Microsoft Azure Databricks Snowflake

Job description

About the role

PwC is seeking an AI Engineering Lead at the Senior Manager level to design, develop, and scale AI and machine‑learning solutions for its advisory clients. You will translate raw data into actionable insights, guide technical teams, and ensure delivery of high‑impact AI projects.

Key responsibilities

  • Lead the architecture and development of AI systems that turn data into business‑ready insights.
  • Manage end‑to‑end deployment of scalable machine‑learning models for client engagements.
  • Oversee data wrangling, integration, and software implementation to enhance model utility.
  • Guide teams in advanced data‑engineering techniques and promote open‑source tools.
  • Collaborate with stakeholders to validate outcomes, incorporate feedback, and drive continuous improvement.

Required profile

  • Minimum Bachelor’s degree.
  • At least 7 years of relevant experience.
  • Preferred academic background in Analytics/Data Science, AI/Robotics, Computer Science, Engineering, or related fields.
  • Relevant certifications in data engineering, machine learning, or cloud platforms (AWS, Google Cloud, Azure, Databricks, Snowflake, etc.).

Required skills

  • Python
  • C++
  • Java
  • TensorFlow
  • Scikit‑Learn
  • AWS
  • Google Cloud
  • Microsoft Azure
  • Databricks
  • Snowflake

Questions fréquentes

Le salaire n'est pas communiqué publiquement par le recruteur. Vous pouvez postuler et négocier directement avec pwc.
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Source : ats:workday

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Published 2 weeks ago

Expires 1 month from now

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