The Opportunity

We are seeking a skilled Machine Learning Engineer with a strong focus on developing end-to-end data science solutions on Azure platforms. The ideal candidate will have extensive experience in developing scalable and robust machine learning models, data pipelines, and insights visualization solutions using Azure technologies.
 

Responsibilities

• Develop and implement machine learning models, algorithms, and data pipelines on Azure platforms and Databricks
• Design and develop scalable and efficient data storage solutions using Azure technologies such as Azure Data Lake, Azure Blob Storage, and Azure SQL Database
• Collaborate with cross-functional teams to design, develop, and deploy machine learning solutions that meet business requirements
• Apply Databricks to train, deploy, and manage machine learning models
• Continuously monitor and improve the performance of machine learning models through data analysis and testing
• Develop data visualization tools and dashboards using Azure technologies such as Power BI and PowerApps
• Stay up-to-date with the latest trends and advancements in cloud-based machine learning technologies and techniques

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

• Bachelor's or Master’s degree in computer science, Engineering, Mathematics, or related field
• 3+ years of experience in developing cloud-based machine learning solutions on Azure platforms and Databricks
• Strong proficiency in developing machine learning models using Python machine learning packages, Azure Databricks, and other Azure technologies
• Experience working with Azure data storage solutions such as Azure Data Lake, Azure Blob Storage, and Azure SQL Database
• Strong programming skills in Python, R, or other relevant languages
• Experience with data visualization tools and techniques using Azure technologies such as Power BI and PowerApps
• Experience with using JavaScript to build customized web applications in the angular platform is a plus
• Experience with DevOps practices and tools for machine learning model deployment
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills

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 stakeholders and has a positive social and environmental impact.

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.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

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.

Primary Location

Working Arrangement

Salary range is expected to be between

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/John Hancock 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/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

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