Description
Established in the region for 40 years, PwC has around 12,000 people in 12 countries across the region: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, the Palestinian territories, Qatar, Saudi Arabia and the United Arab Emirates.
Our regional team operates across the Middle East bringing international experience delivered within the context of the region and its culture. We can bring the collective knowledge and experience of more than 370,000 people across the entire global PwC network in advisory, assurance and tax to help you find the value you are looking for.
Line of Service
Internal Firm Services
Industry/Sector
Not Applicable
Specialism
IFS - Information Technology (IT)
Management Level
Associate
Job Description & Summary
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.
Key Responsibilities:
- Design and implement RESTful APIs for authentication, data access, and system health checks
- Develop modular services to handle model inference, prompt orchestration, and pipeline management
- Orchestrate background or asynchronous tasks for long-running AI workloads
- Integrate with leading LLM platforms (OpenAI, Hugging Face, etc.) and optimize calls for performance and cost
- Containerize services using Docker and Docker Compose, and collaborate on CI/CD pipelines
- Manage and scale data stores
- Define clear API contracts and data models in partnership with frontend engineers
- Produce comprehensive documentation: OpenAPI/Swagger specs, architecture diagrams, and in-code comments
- Participate in design discussions, architectural reviews, and peer code reviewsQualifications:
- Strong backend development skills (Node.js, Python, or equivalent)
- Hands-on experience with Docker, Docker Compose, and container orchestration
- Familiarity with databases like MongoDB, Redis, or similar systems
- Solid understanding of JWT/session-based authentication and security best practices
- Proven ability to design and consume RESTful APIs
- Experience integrating AI/ML services, especially large language models
- Excellent communication skills and ability to collaborate across teamsNice-to-Have:
- Experience with asynchronous frameworks (FastAPI, asyncio)
- Familiarity with AI orchestration libraries (LangChain, etc.)
- Background in monitoring, logging, and metrics systems
- Prior work in microservices or cloud-native environments
- Experience with Azure DevOps
Education (if blank, degree and/or field of study not specified)
Degrees/Field Of Study Required
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
