Assistant AI Product Manager

FCC ANALYTICS

Hongkong

On-site

HKD 223,200 - 334,800

Full time

14 days+
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Job summary

A technology analytics firm is seeking an Associate Product Manager to help develop AI products in the AML context. The ideal candidate has a passion for AI development, a solid foundation in Machine Learning, and proficiency in programming. This entry-level, full-time position is based in Hong Kong and offers a dynamic work environment where you can contribute to cutting-edge AI technologies.

Qualifications

  • Solid theoretical foundation in Machine Learning and LLM technologies.
  • Experience with latest LLM technologies is advantageous.
  • Knowledge of Time Series, GNN, Graph Theory, FL, and Optimization Theory is advantageous.

Responsibilities

  • Collaborate with AI engineers to develop AI products.
  • Manage product development plans and communication.
  • Monitor and report on AI product development progress.

Skills

AI product development enthusiasm
Communication in Cantonese, English, and Mandarin
Proficiency in programming (Python, JavaScript, MySQL)
Openness to new AI technologies

Job description

Associate Product Manager - Early Career

Shenzhen, Guangdong, China

Responsibilities
  • Collaborate with AI engineers to develop AI products within the AML context
  • Research, manage, and refine AI products, working closely with AI engineers
  • Support the AI team and product development team in proactively managing product development plans, schedules, dependencies, communications, and budgets
  • Monitor and report on AI product development progress, issues, and risks
  • Support the marketing team with pre‑sales events
Requirements
  • Enthusiasm for AI product development, particularly in the context of AML
  • Solid theoretical foundation in Machine Learning and LLM technologies
  • Proficiency in Cantonese, English, and Mandarin, with exceptional communication skills
  • Proficiency in programming (e.g., Python, JavaScript, MySQL) to demonstrate project ideas and designs (participate in development of Minimum Viable Product)
  • Experience with the latest LLM technologies (e.g., agentic systems, prompt engineering, LLM deployment, LLM fine‑tuning, and RAG) is advantageous
  • Knowledge of Time Series, Graph Neural Networks (GNN), Graph Theory, Federated Learning (FL), and Optimization Theory is advantageous
  • Openness to learning new AI technologies and algorithms
Seniority Level
  • Entry level
Employment Type
  • Full‑time
Job Function
  • Accounting/Auditing, Manufacturing, and Other
Industries
  • Technology, Information and Media

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