AI Engineering Manager - Toa Payoh

apartmentDERIV (SG) PTE. LTD. placeToa Payoh descriptionPermanent calendar_month 

Deriv is an AI-first company, transforming trading through cutting-edge technology. We're seeking an exceptional AI Engineering Manager to lead our technical innovation. This role blends hands-on technical leadership with strategic management, driving cutting-edge initiatives while actively contributing to development.

AI is being embedded into our company DNA, across every department. For further information, please read our guide: ‘AI at Deriv:How we’re transforming fintech with AI’.

Key Responsibilities:

Technical Leadership & Hands-on Development:

  • Actively participate in and guide the development of advanced AI solutions, including deep learning, reinforcement learning, and graph neural networks
  • Lead the implementation of state-of-the-art NLP solutions using spaCy, Hugging Face Transformers, and the latest Gen-AI APIs
  • Architect and oversee vector search systems such as Weaviate, Pinecone, and Milvus
  • Drive the development of autonomous and multi-agent systems environments
  • Guide the integration of generative AI technologies (GPT, DALL-E, GANs)
  • Utilise advanced transformer models like BERT, T5, and ViT to solve complex problems in NLP and computer vision.

Strategic Management:

  • Develop technology roadmaps aligned with business objectives
  • Collaborate with cross-functional teams to integrate AI solutions across the organisation
  • Lead architecture decisions for cloud-based AI solutions
  • Balance resource allocation across multiple AI initiatives

People Management:

  • Build and lead a high-performing AI engineering team
  • Provide technical mentorship and career development guidance
  • Build a culture of innovation and continuous learning by driving the recruitment efforts of AI talent

Requirements

Technical Skills:

  • Expert-level proficiency in Python
  • Expertise in TensorFlow, PyTorch, and scikit-learn
  • Hands-on experience with vector databases and similarity search systems
  • Strong background in reinforcement learning and generative AI
  • Practical experience with MLOps tools and practices
  • Proficiency in big data technologies (Spark, Kafka, Hadoop)
  • Experience with cloud platforms and edge computing solutions

Leadership Skills:

  • 8+ years of technical experience in AI/with 4+ years of engineering team management
  • Proven track record of delivering complex AI projects
  • Experience with agile development methodologies
  • Ability to balance technical depth with business acumen
  • Strong communication and stakeholder management skills
  • Strategic thinking and problem-solving abilities
Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Extensive experience (8+ years) in AI/ML roles, with at least 4 years in a leadership capacity, delivering enterprise-grade solutions.
  • Recognised contributions to AI research or projects, evidenced by publications or notable projects.

Benefits

We pay competitive salaries based on your skills, qualifications, experience and market rates. Additionally, you’ll be eligible for an annual bonus based on individual and company performance.

Additionally, you’ll be eligible for an annual bonus based on individual and company performance.

You’ll also receive comprehensive health benefits, including private medical insurance, life insurance, and health screenings.

Our culture is unique, and we live by our values and leadership principles, so it's worth learning more about Deriv’s culture.

Ready to pioneer the future of AI? If you're excited about leading a talented team and driving innovation in AI technology, we want to hear from you. Your leadership could help shape the next generation of AI solutions.

Deriv is an equal opportunity employer committed to diversity and inclusion. We take pride in our Great Place to Work and IIP Platinum certifications, which reflect our commitment to creating an exceptional work environment. Join us and help build the future of online trading while working alongside top talent from over 80 nationalities.

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