Machine Learning Engineer

Are you looking for a supportive and collaborative workplace with great benefits and clear career development? You’ve come to the right place.

Why choose Manulife?

• Competitive Salary packages and performance bonuses
• Day 1 HMO + FREE coverage for your dependents (inclusive of same-sex partners)
• Retirement savings benefit
• Rewarding culture that values wellness and well-being
• Performance Bonus
• Global network of industry experts
• Extensive training resources

Job Description:

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 preferably using Azure technologies.

Have the skills and knowledge for the job? Learn more about the opening below!

Key Responsibilities:

• Develop, implement, document and help innovate machine learning models, algorithms, and data pipelines on Azure platforms and Databricks
• Preferably, provide guidance in understanding and developing data pipelines across multiple cloud environments (e.g. Azure,  AWS, etc.)
• 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 in designing, developing, and deploying machine learning-based 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
• Stay up-to-date with the latest trends and advancements in cloud-based machine learning platforms, technologies and techniques
• Collaborate with MLOPS best practice leaders globally

Qualifications:

• Education: Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or related field.
• Experience: 3+ years of experience in developing cloud-based machine learning solutions on Azure platforms and Databricks
• Hybrid Work Arrangement: Amenability and readiness to work onsite and from home anytime (dependent on business need AND/OR current external environment/situation - 3x a week onsite and 2x a week work from home).

Minimum Skills to Hire/Must Haves:

• 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.  Azure Certification preferred. 

• 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 in design thinking preferred. 

• 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 team collaboration skills

Let's make every day better together. Learn about our opportunities at JOBS.MANULIFE.COM

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 [email protected].