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    Machine Learning Engineer - Old Toronto, Canada - Manulife Insurance Malaysia

    Manulife Insurance Malaysia
    Manulife Insurance Malaysia Old Toronto, Canada

    3 weeks ago

    Default job background
    Description

    Machine Learning Engineer

    Location: Toronto, Ontario, Quebec, Montreal, 900 Boulevard de Maisonneuve Ouest, Waterloo, Ontario

    Employment Type: Full-time

    Posted: Yesterday

    Job Requisition ID: JR

    We are a top financial services provider dedicated to simplifying decisions and enhancing lives for our customers and colleagues globally. From environmental initiatives to community investments, our values guide our business. We support your growth because when colleagues are healthy, respected, and challenged, we all succeed. Join our Winning Team to boost your career, create impact, and drive real change.

    Working Arrangement: Hybrid

    Job Description

    The Opportunity

    This individual will play a crucial role in leveraging data from sales analytics to extract insights on customer behavior, market trends, and sales performance. By utilizing Databricks and Azure, they will optimize sales strategies, identify growth opportunities, and make data-driven decisions, leading to revenue growth, enhanced customer satisfaction, and a competitive edge.

    Responsibilities

    • Clean, preprocess, and analyze large datasets to extract insights and patterns
    • Develop and lead machine learning and AI projects
    • Deploy machine learning models on cloud platforms like Azure ML and Databricks
    • Collaborate with data engineers and ML engineers for seamless integration
    • Utilize visualization tools like PowerBI

    How Will You Create Impact?
    This role reports to the Director of Sales Reporting and Analytics. It significantly influences the organization by efficiently managing data through Data lake and Azure, improving data insights and decision-making. Expertise in data visualization enables effective communication of crucial information, enhancing transparency and driving strategic initiatives.

    What Motivates You?

    • Customer-centric mindset
    • Curiosity and agility for business outcomes
    • Team player who values collaboration
    • Ownership and solution-driven approach
    • Integrity and speaking up for what's right
    • Promoting diversity and inclusion

    What We Are Looking For

    • Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or related field
    • 5+ years of experience in probabilistic models, data mining, and machine learning
    • Proficiency in Python and machine learning libraries/frameworks
    • Knowledge of software engineering practices
    • Strong problem-solving and collaboration skills
    • Excellent communication skills

    What Can We Offer You?

    • Competitive salary and benefits
    • Growth opportunities and skill development
    • Focus on career advancement
    • Flexible work policies and work-life balance
    • Professional development and leadership opportunities

    Our Commitment to You

    • Values-driven culture
    • Continuous learning and growth
    • Opportunities for innovation
    • Diversity, Equity, and Inclusion
    • Corporate Citizenship

    About Manulife and John Hancock

    Manulife is a leading global financial services group focused on simplifying decisions and improving lives. With headquarters in Toronto, Canada, we operate as Manulife and John Hancock across Asia, Canada, Europe, and the United States, offering financial advice, insurance, and wealth management solutions.

    Manulife is an Equal Opportunity Employer

    Our diversity is our strength. We are committed to fair practices and programs without discrimination. We provide equal access to employment opportunities and ensure an inclusive workplace.

    Salary & Benefits

    The annual salary for this role ranges from $74,270.00 CAD to $137,930.00 CAD. Actual salary may vary based on factors like skills, experience, and geography.

    Primary Location

    Toronto, Ontario

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