Senior Machine Learning Engineer

4 weeks ago

Toronto, Ontario, Canada Manulife Full time

Job Title: Senior Machine Learning Engineer

About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our Global Advanced Customer Analytics team at Manulife/John Hancock. As part of our Customer Experience (CX), Contact Center, Digital & Personalization initiatives, you will be responsible for developing and implementing robust analytical solutions to identify actionable insights using multi-signal datasets.

Key Responsibilities

  • Develop feature engineering components to source and acquire structured and unstructured data to support modeling efforts.
  • Collaborate with Data Engineers and IT Domain Experts to understand source data and formulate hypotheses and insights prior to model design.
  • Develop and deploy machine learning models to solve business problems using various algorithms and techniques.
  • Work closely with partners to gather requirements and implement solutions that meet their needs.
  • Embrace best practices, processes related to MLOps, coding standard methodologies for the broader data science and engineering teams.
  • Experience in optimizing model accuracy and runtime performance using techniques such as model compression and parallelization.
  • Mentor and provide guidance to junior team members, fostering a culture of continuous learning and improvement.
  • Stay up to date with industry trends and advancements in Machine Learning, Generative AI, Prompt engineering, Cloud and related technologies.

What We Are Looking For

  • An advanced degree in Machine Learning, Data Science, Computer Science, Engineering, or Statistics.
  • Minimum of 5 years of experience solving high-impact business problems using Machine Learning & Data Science.
  • Proven experience as a Data/ML Engineer, with a strong focus on machine learning, generative AI, prompt engineering, and RAG applications.
  • Hands-on experience with Azure tech stack, including Azure Cognitive Search, Langchain, Vector stores.
  • Strong partner management, ability to translate sophisticated technical topics into business language, presentation skills, and an ability to balance a sense of urgency with shipping high-quality and pragmatic solutions.
  • Strong software development skills with proficiency in Python and advanced working SQL knowledge, preferably using the Azure stack and experience with Azure ML, Databricks, Azure Data Factory.
  • Experience in productionizing code through the DevOps pipeline (git, Jenkins pipeline, code scan).
  • Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.

What We Offer

  • A competitive salary and benefits packages.
  • A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.
  • A focus on growing your career path with us.
  • Flexible work policies and strong work-life balance.
  • Professional development and leadership opportunities.

Our Commitment to You

  • Values-first culture: We lead with our Values every day and bring them to life together.
  • Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
  • Continuous innovation: We invite you to help redefine the future of financial services.
  • Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
  • Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

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