Python AI Engineer - Senior Associate

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the GenAI Data Engineering team you will design and maintain data pipelines for innovative projects. As a Senior Associate you will collaborate with data scientists to implement advanced machine learning models, enhance data infrastructure, and stay at the forefront of GenAI technologies, đảm bảo your contributions drive significant business giá trị.

Responsibilities

- Design and maintain data pipelines for innovative projects

- Collaborate with data scientists on machine learning implementations

- Enhance data infrastructure to improve performance

- Stay updated on advancements in GenAI technologies

- Confirm contributions align with business objectives

- Analyze data to derive meaningful insights

- Support the development of data-driven strategies

- Communicate effectively with stakeholders regarding project outcomes

What You Must Have

- Bachelor's Degree

- 3 - 5 years of experience

- Oral and written proficiency in English required

What Sets You Apart

- Bachelor's Degree in Engineering, Computer Science, or related field

- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

- Familiarity with Gen AI frameworks and tools

- Experience in setting up data pipelines for model training

- Proficiency in SQL and database management systems

- Knowledge of continuous integration and deployment practices

- Understanding of cloud-native development patterns

- Demonstrated ability in modular design and security practices

- Experience deploying containerized applications on cloud platforms