Senior AI Solutions Architect

9 hours ago

Hong Kong, Central and Western District, Hong Kong SAR China KPMG Full time

KPMG China is a leading professional services firm that provides multidisciplinary services from audit and tax to advisory, with a strong focus on serving our clients' needs and their industries.

We are seeking a talented AI Engineer to join our Advisory Innovation Lab. This individual will be responsible for developing and implementing advanced AI solutions that support our innovative AI initiatives and solutions.

  • The Innovation Lab fosters a collaborative and dynamic work environment.
  • Opportunities to work on diverse and impactful projects.
  • Access to state-of-the-art technology and resources (external and KPMG internal).
About the Role

This role involves research, development, and innovation in AI technologies and methodologies. The successful candidate will conduct research on cutting-edge AI technologies, develop prototypes and Proof-of-Concept projects, and experiment with new tools and technologies.

Main Responsibilities

Research, Development & Innovation:

  • Conduct research on cutting-edge AI technologies and methodologies.
  • Develop prototypes and Proof-of-Concept projects to demonstrate the feasibility of new ideas.
  • Experiment with new tools and technologies to push boundaries of what AI can achieve.

Implementation, Management & Deployment:

  • Collect, preprocess, and analyze large datasets.
  • Develop, train, test, and optimize machine learning models using AI techniques.
  • Deploy AI models into production environments.

Presentation & Collaboration:

  • Work closely with cross-functional teams, including software engineers, data scientists, and product managers.
  • Collaborate with Clients to integrate AI solutions.
  • Communicate results and ideas in a clear manner with creative data visualization.
Requirements

The ideal candidate should possess a Master's or PhD degree in Computer Science, Mathematics, Machine Learning, Artificial Intelligence, Statistics, or equivalents. They should have around 4 - 5 years of experience in this area with a proven track record of designing, building, and deploying data-driven solutions.

  • Solid programming skills with proficiency in Python or R (knowledge of SQL or other programming languages would be a plus).
  • Experience in using machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
  • Knowledge of generative AI concepts, including fine-tuning, transfer learning, and RAG methods.
  • Experience in building applications using LLM frameworks such as LangChain, Llama Index.
  • Strong knowledge in data structures, data modeling, and software architecture.
  • Hands-on experience in building AI models at scale, deploying software in cloud environments (AWS, GCP, Azure), and managing/processing large datasets.
  • Excellent problem-solving skills and ability to manage multiple projects concurrently.
  • Strong communication skills with the ability to convey complex results to non-technical stakeholders in clear, concise language.

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