AI / GenAI Engineer needed at PricewaterhouseCoopers

Qualifications / Certifications required:

• Bachelor’s degree in computer science, Engineering, Data Science or a related field
• Relevant certifications in AI/ML or related fields are highly advantageous

Experience required:

• Minimum 4 years working experience in AI/ML engineering or related roles
• Proven work experience in developing and deploying AI/GenAI models
• Relevant working experience in Retail Banking
• Strong understanding of machine learning, deep training, and generative AI techniques
• Proficiency in programming languages such as Python, R, and Java
• Experience with AI/ML frameworks and libraries (TensorFlow, PyTorch, Keras)
• Solid experience developing and implementing generative AI models and algorithms utilising techniques such as GPT, VAE and GANs.
• Knowledge of natural language processing (NLP), computer version, and other AI application areas
• Experience with data preprocessing, feature engineering, and model evaluation. 
• Familiarity with cloud platforms and services (AWS, Azure, Google Cloud)
• Excellent analytical and problem solving abilities
• Strong communication and collaboration skills
• Ability to work independently and as part of a team. 

Responsibilities of role:

Model Development:

• Design, develop, and deploy advanced AI and generative AI models
• Conduct research to improve existing models and create new algorithms

Data management:

• Collect, preprocess, and analyse large datasets to train AI models
• Ensure quality data, consistency, and integrity throughout the development process. 

Solution implementation:

• Implement AI models into production systems, ensuring scalability and performance. 
• Collaborate with software engineers to integrate AI solutions with existing applications.

Performance Monitoring and Optimisation:

• Monitor the performance of AI models and make necessary adjustments to improve accuracy and efficiency.
• Conduct experiments and A/B tests to validate model improvement. 

Collaboration and Communication:

• Work closely with cross-functional teams, including data scientists, project managers, and software engineers, to deliver AI-driven solutions
• Present findings, insights, and recommendations to stakeholders in a clear and concise manner.

Innovation and Research:

• Stay updated with the latest advancements in AI and generative AI technologies. 
• Participate in research projects and contribute to the development of innovative solutions.