Senior Machine Learning Engineer

3 weeks ago


Old Toronto, Canada Manulife Insurance Malaysia Full time

Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Apply locations Toronto, Ontario time type Full time posted on Posted Yesterday job requisition id JR24050358

We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. Discover how you can grow your career, make impact and drive real change with our Winning Team today. 

Working Arrangement

Hybrid

Job Description

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 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, 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 motivates you?

  • You obsess about customers, listen, engage and act for their benefit.
  • You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.
  • You thrive in teams and enjoy getting things done together.
  • You take ownership and build solutions, focusing on what matters.
  • You do what is right, work with integrity and speak up.
  • You share your humanity, helping us build a diverse and inclusive work environment for everyone.


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, 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 can we offer you?

  • 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.

#LI-Hybrid

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services group that helps people make their decisions easier and lives better. With our global headquarters in Toronto, Canada, we operate as Manulife across our offices in Asia, Canada, and Europe, and primarily as John Hancock in the United States. We provide financial advice, insurance, and wealth and asset management solutions for individuals, groups and institutions. At the end of 2022, we had more than 40,000 employees, over 116,000 agents, and thousands of distribution partners, serving over 34 million customers. At the end of 2022, we had $1.3 trillion (US$1.0 trillion) in assets under management and administration, including total invested assets of $0.4 trillion (US $0.3 trillion), and segregated funds net assets of $0.3 trillion (US$0.3 trillion). We trade as ‘MFC’ on the Toronto, New York, and the Philippine stock exchanges, and under ‘945’ in Hong Kong.

Manulife is an Equal Opportunity Employer

At Manulife /John Hancock , we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour , ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies . To request a reasonable accommodation in the application process, contact recruitment@manulife.com .

Salary & Benefits

The annual base salary for this role is listed below.

Primary Location

Toronto, Ontario

Salary range is expected to be between

$92,190.00 CAD - $171,210.00 CAD

If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact recruitment@manulife.com for more information about U.S.-specific paid time off provisions.

Similar Jobs (1) Lead Data Scientist locations 2 Locations time type Full time posted on Posted Yesterday

We are a leading financial services provider committed to making decisions easier and lives better for our customers and colleagues around the world. From our environmental initiatives to our community investments, we lead with values throughout our business. To help us stand out, we help you step up, because when colleagues are healthy, respected and meaningfully challenged, we all thrive. 

We offer work that challenges and makes a difference within a flexible and supportive environment, so you can help make decisions easier and lives better for our customers.

We’re proud of our accomplishments and recognitions. Recent awards include:

  • Best Place to Work in Asia-Pacific 2022
  • Best Place to Work for LGBTQ Equality 2022

To receive our latest job opportunities directly to your inbox, create an account or sign in and navigate to the 'Job Alerts' section located in the top right corner of the page. From there, you can sign up to receive job alerts.

Discover how you can grow your career, make impact and drive real change with our Winning Team today at www.manulife.com/careers .

#J-18808-Ljbffr

  • Old Toronto, Canada The Learning Experience #260 Full time

    The Senior Machine Learning Engineer at Xtract One focuses on SaaS and hardware products, leading end-to-end machine learning projects. This role requires developing scalable backend systems, optimizing edge services and APIs, and enforcing machine learning architectures and design standards. Key skills include Python, machine learning libraries like...


  • Old Toronto, Canada The Learning Experience #260 Full time

    The Senior Machine Learning Engineer at Xtract One focuses on SaaS and hardware products, leading end-to-end machine learning projects. This role requires developing scalable backend systems, optimizing edge services and APIs, and enforcing machine learning architectures and design standards. Key skills include Python, machine learning libraries like...


  • Old Toronto, Canada The Institute for Performance and Learning Full time

    Boosted.ai is a fintech company headquartered in Toronto, Canada with offices in New York City. We provide AI tools to asset managers to augment their equity capital markets research. Boosted.ai empowers finance professionals to use AI and machine learning to sort through massive amounts of data to find stock opportunities. We are a well funded, post...


  • Old Toronto, Canada The Institute for Performance and Learning Full time

    Boosted.ai is a fintech company headquartered in Toronto, Canada with offices in New York City. We provide AI tools to asset managers to augment their equity capital markets research. Boosted.ai empowers finance professionals to use AI and machine learning to sort through massive amounts of data to find stock opportunities. We are a well funded, post...


  • Old Toronto, Canada The Institute for Performance and Learning Full time

    Boosted.ai is a fintech company headquartered in Toronto, Canada with offices in New York City. We provide AI tools to asset managers to augment their equity capital markets research. Boosted.ai empowers finance professionals to use AI and machine learning to sort through massive amounts of data to find stock opportunities. We are a well funded, post...


  • Old Toronto, Canada The Institute for Performance and Learning Full time

    Boosted.ai is a fintech company headquartered in Toronto, Canada with offices in New York City. We provide AI tools to asset managers to augment their equity capital markets research. Boosted.ai empowers finance professionals to use AI and machine learning to sort through massive amounts of data to find stock opportunities. We are a well funded, post...


  • Old Toronto, Canada Flipp Full time

    Flipp partners with the largest North American retailers and brands to deliver local promotions and savings to millions of engaged shoppers daily, driving superior returns on investments. We help people make smarter shopping decisions with autonomy and accountability. With rising living costs, Flipp's mission is crucial. Our Shopper Consideration Platform...


  • Old Toronto, Canada Flipp Full time

    Flipp partners with the largest North American retailers and brands to deliver local promotions and savings to millions of engaged shoppers daily, driving superior returns on investments. We help people make smarter shopping decisions with autonomy and accountability. With rising living costs, Flipp's mission is crucial. Our Shopper Consideration Platform...


  • Old Toronto, Canada Tali AI Full time

    Physicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements compounded by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the "great resignation of healthcare,"...


  • Old Toronto, Canada Tali AI Full time

    Physicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements compounded by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the "great resignation of healthcare,"...


  • Old Toronto, Canada Tali AI Full time

    Physicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements compounded by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the "great resignation of healthcare,"...


  • Old Toronto, Canada Tali AI Full time

    Physicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements compounded by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the "great resignation of healthcare,"...


  • Old Toronto, Canada Tali AI Full time

    Physicians, the backbone of our healthcare system, have long been burdened by excessive administrative tasks and documentation requirements compounded by EMR regulations resulting in the widespread issue of physician burnout. The toll of spending 10-15 hours per week on these tasks has led to a concerning trend known as the "great resignation of healthcare,"...


  • Old Toronto, Canada Hour Consulting Full time

    HouR Client is a trailblazing technology platform that harnesses the power of artificial intelligence to estimate Canadian home values in real-time accurately. With a single click, users can obtain precise automated home valuations for any listing in seconds. Their algorithm even identifies comparable nearby sold properties, empowering buyers to make...


  • Old Toronto, Canada Hour Consulting Full time

    HouR Client is a trailblazing technology platform that harnesses the power of artificial intelligence to estimate Canadian home values in real-time accurately. With a single click, users can obtain precise automated home valuations for any listing in seconds. Their algorithm even identifies comparable nearby sold properties, empowering buyers to make...


  • Old Toronto, Canada Hour Consulting Full time

    HouR Client is a trailblazing technology platform that harnesses the power of artificial intelligence to estimate Canadian home values in real-time accurately. With a single click, users can obtain precise automated home valuations for any listing in seconds. Their algorithm even identifies comparable nearby sold properties, empowering buyers to make...


  • Old Toronto, Canada Hour Consulting Full time

    HouR Client is a trailblazing technology platform that harnesses the power of artificial intelligence to estimate Canadian home values in real-time accurately. With a single click, users can obtain precise automated home valuations for any listing in seconds. Their algorithm even identifies comparable nearby sold properties, empowering buyers to make...


  • Old Toronto, Canada Hour Consulting Full time

    HouR Client is a trailblazing technology platform that harnesses the power of artificial intelligence to estimate Canadian home values in real-time accurately. With a single click, users can obtain precise automated home valuations for any listing in seconds. Their algorithm even identifies comparable nearby sold properties, empowering buyers to make...


  • Old Toronto, Canada Wyatt Partners Full time

    Senior Machine Learning Engineer – LLM’s Tech scale up developing democratized AI Technology, backed by one of the worlds leading AI investors with multiple successes & exits.You’ll have experience with LLM’s and Reinforcement learning.BA in Computer Science (Masters or PhD preferred) or related fieldEager to learn, to work with and integrate...


  • Old Toronto, Canada Wyatt Partners Full time

    Senior Machine Learning Engineer – LLM’s Tech scale up developing democratized AI Technology, backed by one of the worlds leading AI investors with multiple successes & exits.You’ll have experience with LLM’s and Reinforcement learning.BA in Computer Science (Masters or PhD preferred) or related fieldEager to learn, to work with and integrate...