AI Engineer

As an AI Engineer you will develop and maintain machine learning and AI data pipelines working with senior team members to source document and ensure the accuracy of structured and unstructured data. Youll assist in coding solutions and implementing AI models in production systems while evaluating methods to generate actionable insights. Effective communication is essential as youll translate data-driven outputs into business language participate in meetings and collaborate across teams. Youll actively seek feedback and drive your career development by enhancing your technical skills in Python SQL and Gen AI libraries alongside experience in data transformation and DevSecOps practices. Your curiosity communication skills and teamwork are key to your success in this role.

Position Responsibilities:

Data Management:

• Develop robust ML and AI data pipelines for structured and unstructured data sets.
• Work with senior team members to source and understand data.
• Document acquired data and create appropriate tables and databases for data science projects.
• Ensure data accuracy through checks and balances.

Generative AI Development:

• Assist in translating business problems into code under the guidance of senior team members.
• Collaborate on feature generation for AI models.
• Implement and code data science solutions in production systems.
• Acquire data to measure the effectiveness of AI solutions.

Analysis and Insights:

• Evaluate ML and AI methods relative to quantitative finance theoretical frameworks.
• Develop the ability to generate actionable insights from iterative data analysis.
• Translate data-driven outputs into business language and make recommendations.
• Provide analysis on datasets of moderate complexity.

Communication and Collaboration:

• Communicate business analytics to senior team members.
• Participate in meetings and brainstorming sessions.
• Build stable working relationships with cross-functional peers and establish a broader internal network.
• Actively seek coaching and incorporate feedback into work.

Career Development:

• Own career development by leveraging available resources to advance technical and business skills.
• Understand how assigned tasks fit into broader initiatives.

Required Qualifications:

• Programming Languages: Advanced Python SQL and deep knowledge of Gen AI libraries.
• Data Transformation: Advanced skills in data engineering data quality and required transforms for statistical modeling.
• Database Querying:Advanced SQL Snowflake Databricks and exposure to spark.

Preferred Qualifications:

• Machine Learning: Basic understanding of machine learning algorithms and AI toolkits.
• Statistical Analysis: Familiarity with statistical tests distributions maximum likelihood estimators and statistical modeling techniques.
• DevSecOps: Experience developing in a DevSecOps framework including best practices for version control code review unit test development monitoring and supporting a CI/CD framework.
• Curiosity and Learning: Demonstrates curiosity and learns to ask the right questions to gain knowledge.
• Communication: Shares information and provides rationale behind ideas.
• Teamwork: Builds stable working relationships and participates in brainstorming sessions.
• Feedback: Actively seeks out coaching and incorporates feedback into work.

When you join our team:

• Well empower you to learn and grow the career you want.
• Well recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team well support you in shaping the future you want to see.

#LI-Hybrid

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 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 .

Referenced Salary Location

Salary range is expected to be between

If you are applying for this role outside of the primary location please contact 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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