AI /ML Manager

4 days ago


Singapore UTAC HEADQUARTERS PTE. LTD. Full time
Roles & Responsibilities

Job Description:

  1. Contribute to the Organization's overall AI strategy, leveraging cutting-edge technology to drive digital transformation and accelerate Gen AI adoption.
  2. Strategize, and maintain enterprise roadmap to drive key data science and AI initiatives based on business and technical needs within the Organization.
  3. Shape and execute digital transformation strategies that address the business need and incorporate advanced generative AI to enhance operational efficiency, innovation, and business values.
  4. Apply AI using machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services.
  5. Collaborate and work closely with cross functional AI development teams (data scientists, AI developers), cross functional IT teams and business domain experts to manage project lifecycles.
  6. Ensure AI models and products are delivered on time, within scope and budget.
  7. Define and track key performance indicators (KPIs) and success metrics for AI initiatives.
  8. Ensure continuous monitoring and optimization of AI solutions post-deployment.
  9. Deploy data science solutions into production environments, ensuring their scalability, reliability, performance, and governance. Integrate AI models with existing systems and APIs.
  10. Develop and maintain AI standards, central documentation, and corporate governance to manage AI solutions.
  11. Advance the organization's AI capabilities through consistent thought leadership, external outreach, and the development of new service offerings.

Requirements;

  1. Bachelor or master's degree in computer science, AI or a related field from accredited institution.
  2. Minimum 6+ years of professional experience in AI/ ML and LLM engineering or a related field.
  3. Technical Expertise: Deep understanding of AI/ML concepts, algorithms, and frameworks (e.g., Python, TensorFlow, PyTorch). Proficiency in data engineering, cloud computing, and MLOps practices.
  4. Prior experience as a project member of an AI/ ML implementation project.
  5. Certifications in data science or related areas are a plus.
  6. Knowledge of semiconductor (OSAT) domain is a plus.
Tell employers what skills you have

Digital Transformation
Information Retrieval
TensorFlow
Machine Learning
Corporate Governance
Scalability
Cloud Computing
Reliability
Strategy
Data Engineering
Thought Leadership
Data Mining
PyTorch
Python
Data Science
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