Senior GenAI Engineer

1 day ago

Toronto, Ontario, Canada Manulife Insurance Malaysia Full time
Senior GenAI Engineer

The Senior GenAI Engineer is a key member of our team responsible for developing innovative Generative AI solutions in collaboration with data science and IT teams.

The role's primary responsibility is to build GenAI solutions with sound architecture, effective MLOps/LLMOps processes, and comprehensive controls.

The successful candidate works closely with and receives support from data scientists, data engineers, data architects, platform engineers, and business leaders.

Key Responsibilities:

  • Collaborate with data scientists to develop and implement generative AI solutions to solve complex business problems and deliver business value.
  • Work with architects and platform engineers to build a high-performance environment where data scientists and engineers develop GenAI solutions in a timely manner and deploy them efficiently.
  • Provide technical guidance, mentorship, and problem-solving support to project teams to ensure successful execution of projects.
  • Stay up-to-date with the latest advancements in AI technologies and methodologies and evaluate their potential applications to improve our AI engineering processes.
  • Drive the adoption of ML Ops practices within the GenAI engineering team, ensuring efficient and reliable deployment of GenAI solutions.
  • Foster a culture of innovation, collaboration, and continuous learning within the GenAI engineering team.

Requirements:

  • Graduate degree in Computer Science, Engineering, or a related field.
  • Experience in implementing and productionizing ML projects end-to-end, including MLOps and Model Marketplaces.
  • Experience with building microservice-based architecture for GenAI solutions.
  • Experience in working with large-scale data sources in complex environments and implementing scalable and efficient data processing pipelines.
  • Expert knowledge in cloud platforms, especially Azure, in the context of GenAI solution development and deployment, and common tools in data science.
  • Solid understanding of generative AI models and algorithms and their applications in solving complex business problems.

We offer flexible work policies, a strong work-life balance, opportunities to learn and grow at every stage of your career, and the chance to help redefine the future of financial services.

We foster an inclusive workplace where everyone thrives and build a business that benefits all partners and has a positive social and environmental impact.

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