GenAI Python Systems Engineer – Senior Associate
About the role
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 optimizing algorithms, models, and systems to enable intelligent decision-making and automation.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Responsibilities
- Design and implement data architecture strategies aligned with business objectives
- Collaborate with stakeholders to convert data requirements into technical solutions
- Maintain data integrity and system dependability
- Guide and mentor team members to uphold exemplary standards
- Analyze intricate problems to deliver impactful solutions
- Build and nurture meaningful client relationships
- Navigate uncertain situations with confidence and adaptability
- Utilize programming languages and cloud platforms to enhance data solutions
Requirements
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 3 years of experience
What sets you apart
- 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, Scala
- Proficient in SQL and relational databases
- Experience with Docker and containerized deployments
- Familiarity with AI techniques enhancing LLMs
- Experience in prompt engineering for LLM outputs
- Designing thorough data architecture strategies
- Implementing data integration solutions using cloud services
- Managing data warehouses and data lakes