GenAI Python Systems Engineer – Experienced Associate

PwC•Cincinnati, OH

1d•$61,000 - $100,000•Onsite

About The Position

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you will contribute to innovative projects that leverage advanced technology. As an Associate you will focus on learning and supporting client engagements while developing your technical skills and building meaningful relationships. This role offers a unique chance to work with advanced AI techniques and cloud platforms, enhancing your knowledge in a fast-paced environment.

Requirements

Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics
At least 1 year of experience

Nice To Haves

Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate]
Skilled in programming languages like Python, Java, or Scala
Demonstrating competence in SQL and relational databases
Managing containerized deployments with Docker
Maintaining software quality through developer-led testing
Understanding AI techniques enhancing LLMs
Designing data architecture strategies for business needs
Working with stakeholders to translate data requirements
Familiarity with machine learning and data science workflows
Monitoring and troubleshooting data pipelines, data warehouses, and workflows to promote data quality, system reliability, performance, and cost management
Using AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments