Machine Learning Engineer

Are you enthusiastic about machine learning and keen to demonstrate your skills in an innovative environment? Join Manulife as a Machine Learning Engineer and become an integral part of our Global AI team
! This is a groundbreaking opportunity to work on pioneering projects that generate significant business value for our organization. You'll collaborate closely with a variety of teams, including stakeholders in the Insurance and Investment segments, Technology partners, Data Office, Operations, Sales, and Distribution, to successfully implement world‑class analytics solutions!

• Design and implement highly scalable, distributed machine learning pipelines in collaboration with data and platform teams.
• Design, implement, and operate AI runtimes and services leveraging event‑driven and distributed systems patterns.
• Optimize, deploy, and monitor ML models and AI services in production‑grade, large‑scale environments
  .
• Build and maintain data science and ML platform infrastructure using Azure cloud services
  .
• Develop Generative AI applications, including Retrieval‑Augmented Generation (RAG) systems and fine‑tuned Large Language Models (LLMs), designed for global reuse and scalability.
• Define and enforce platform standards, patterns, and best practices for AI service development and deployment.
• Collaborate with multi‑functional teams to integrate AI solutions into enterprise systems and workflows
  .
• Document platform architecture
  , ML system designs, runtime patterns, and deployment workflows in a clear, comprehensive manner.
• Develop automation tools and scripts to enable self‑service deployment
  , scaling, and lifecycle management of AI systems in the cloud.

• 3+ years of experience in ML engineering, platform engineering, distributed systems, Dev Ops, or data science roles.
• 3+ years of hands‑on experience with Azure / cloud technologies (e.g., Databricks, MLflow, AKS, Web App Service).
• Strong Java programming skills and advanced SQL knowledge.
• Experience deploying models or AI services as REST or event‑driven APIs
  .
• Experience with Docker, Kubernetes
  , and cloud‑native infrastructure.
• Experience with Python.
• Working knowledge of LLMs (GPT‑based models, BERT, Llama) and prompt / inference engineering
  .
• Experience with Dev Ops and platform engineering practices
  , including Git and CI/CD pipelines.
• Ability to design and deliver pragmatic, production‑ready solutions under tight timelines.
• Degree or equivalent experience in Computer Science, Data Science, Engineering, or a related field.

• Experience building internal platforms or developer enablement systems used by multiple teams.
• Experience in the insurance or financial services industry.

• We’ll empower you to learn and grow the career you want.
• We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.
• As part of our global team, we’ll support you in shaping the future you want to see.

マニュライフ・ファイナンシャル・コーポレーションは、「あなたの未来に、わかりやすさを」を提供する、国際的な大手金融サービスプロバイダーです。当社について詳しくは、 をご覧ください。

マニュライフ/ジョン・ハンコックでは、多様性を受け入れます。私たちは、サービス提供先であるお客さまと同様に、多様な人材を引きつけ、育成し、定着させ、文化や個人の力を受け入れる包括的な職場環境を促進するよう努めています。当社は公正な採用、定着、昇進、報酬に努めています。当社のすべての慣行およびプログラムは、人種、祖先、出身地、肌の色、民族的出自、市民権、宗教または宗教的信念、信条、性別（妊娠および妊娠関連の状態を含む）、性的指向、遺伝的特徴、退役軍人としての地位、性自認、性に関する表明、年齢、婚姻状況、家族状況、障害、または適用法で保護されるその他の要因に対する一切の差別を行うことなく管理されます。

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