As a Machine Learning & AI Engineer, you will be part of the ML & AI Ops team, supporting clients in software design and application performance management. You'll be responsible for creating data pipelines, integrating technical and functional requirements, and managing the software and model lifecycle across different technology platforms.
The ideal candidate should have a STEM degree, preferably in Computer Science, Computer Engineering, Electronic Engineering, or Automation. Essential skills include expertise in Python/PySpark/Spark/Scala/R, cloud platforms like GCP/Azure/AWS/Palantir, and experience with MLFlow, KubeFlow, AirFlow. Strong understanding of software lifecycle management, API fundamentals, and infrastructure architectures is crucial.
PwC offers an opportunity to work on challenging digital transformation projects across industries like Automotive, Industrial Manufacturing, Consumer Markets, Energy & Utilities, Financial Services, and Telco & Media. The role provides exposure to cutting-edge technologies and the chance to develop advanced technical skills while working with leading industry players.
