GenAI Engineer

3 weeks ago


Singapore APAR TECHNOLOGIES PTE. LTD. Full time
Roles & Responsibilities

Job Summary:

We are seeking a highly skilled GenAI Engineer with expertise in Google Cloud Platform (GCP) and BigQuery. The successful candidate will play a key role in developing and maintaining the global AI sandbox platform, supporting AI product incubation, and ensuring AI solutions align with industry best practices and regulatory standards.

Key Responsibilities:
  • Assist in the development and maintenance of the AI Labs global sandbox platform, ensuring it supports AI experimentation and product development.
  • Collaborate with cross-functional teams to integrate AI solutions into the sandbox environment and enhance its capabilities.
  • Provide technical guidance and support to teams developing AI-driven products.
  • Conduct research and development (R&D) on AI, machine learning, and large language model (LLM) frameworks to stay at the forefront of AI advancements.
  • Analyze and interpret data using BigQuery to generate actionable insights and improve AI models.
  • Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Ensure AI solutions adhere to risk, data protection, and technology risk management policies and regulations.
  • Implement rigorous quality assurance processes to maintain high standards in AI development.
  • Collaborate with business stakeholders, technology teams, and AI experts to integrate AI into products and services.
  • Work with external partners, including universities, startups, and government agencies, to drive AI innovation.
  • Foster a culture of innovation, continuous learning, and knowledge sharing within the AI Lab.
  • Mentor and guide junior engineers in AI and machine learning best practices.
  • Engage with the external AI ecosystem, staying updated with the latest trends and represent the organization at industry events and conferences.
Requirements:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • Strong experience with GCP services, particularly BigQuery, AI/ML tools, and cloud-based AI deployments.
  • Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Expertise in LLMs, natural language processing (NLP), and deep learning architectures.
  • Hands-on experience in optimizing and deploying AI models in a production environment.
  • Strong programming skills in Python, SQL, and cloud-based automation tools.
  • Experience working with structured AI product incubation and acceleration programs.
  • Knowledge of data security, governance, and compliance standards.
  • Ability to work collaboratively in a fast-paced, cross-functional environment.
  • Excellent communication skills with the ability to present AI innovations at industry events.
Preferred Qualifications:
  • Prior experience working in an AI lab or research-focused environment.
  • Familiarity with Vertex AI, AutoML, and cloud-native AI solutions.
  • Experience with MLOps pipelines and AI model lifecycle management.
  • Exposure to working with external AI research communities and startups.

EA License: R1873481

Company EA License: 11C4879

Tell employers what skills you have

TensorFlow
Machine Learning
Security Governance
Scalability
Quality Assurance
Pipelines
Natural Language Processing
Google Cloud Platform
Automation Tools
Risk Management
Research and Development
PyTorch
SQL
Python
Vertex
GCP
BigQuery

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