Senior machine learning engineer

The Opportunity

We are seeking a motivated 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 enabling us to enhance our products and services to meet business needs effectively as per roadmap.

Responsibilities

• Develop feature engineering components to source and acquire structured and unstructured data to support modeling efforts. Strong emphasis on data modeling techniques during feature engineering and system design.
• Collaborate with Data Engineers and IT Domain Experts to understand source data and formulate hypotheses and insights prior to model design, using multi-signal data sources.
• Develop and deploy machine learning models to solve business problems using a variety of algorithms and techniques like LLM, Generative AI & RAG; using Azure and Databricks platforms.
• Work closely with partners to gather requirements and implement solutions that meet their needs.
• Embrace best practices and processes related to MLOps and 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. Experience in Azure OpenAI and open-source models like Llama is a bonus.
• Strong partner management skills, 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.

When you join our team:

• 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.

À propos de Manuvie et de John Hancock

La Société Financière Manuvie est un chef de file mondial des services financiers qui aide les gens à prendre leurs décisions plus facilement et à vivre mieux. Pour en apprendre plus à notre sujet, rendez vous à l’adresse www.manuvie.com.

Manuvie est un employeur qui souscrit au principe de l’égalité d’accès à l’emploi.

À Manuvie/John Hancock, nous embrassons notre diversité. Nous nous efforçons d’attirer, de perfectionner et de maintenir un effectif qui est aussi varié que nos clients, et de favoriser la création d’un milieu de travail inclusif qui met à profit la diversité de nos employés et les compétences de chacun.