Associate Machine Learning Engineer
About The Position
The Manulife/John Hancock AI Team is seeking a highly skilled and motivated Associate Machine Learning Engineer. This role focuses on deploying end-to-end data science models and solutions to accelerate and optimize sales and marketing efforts. The successful candidate will collaborate closely with Data Scientists, BI Specialists, Sales and Marketing Leaders, and IT partners to execute AI and Advanced Analytics initiatives that will shape the future of the business. The team utilizes a wide range of traditional ML models and cutting-edge LLM approaches. As an MLE, you will lead the development and deployment of innovative approaches to optimize existing and new machine learning systems, aiming to unlock their full potential to drive maximum business value.
Requirements
- Bachelor's degree (and at least 2 years of experience working in AI/ Data Science) or Master’s degree in Computer Science, Engineering, Mathematics, or related field
- Hands on experience with Azure cloud tools, such as Databricks, AI Foundry, AI Search, Kubernetes
- Strong background with Python and SQL, experience using both for data analysis and orchestration.
- Experience in applying analytics and AI tools in Marketing and Sales functions.
- Strong business acumen and ability to understand stakeholders’ needs
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
Nice To Haves
- Insurance industry experience
Responsibilities
- Develop machine learning models and applications on cloud platforms like Azure Databricks and AKS, ensuring seamless integration, scalability, and cost-effectiveness.
- Develop Feature Store and standardized data models to support multiple business use cases.
- Solve business problems by deploying LLM/ Generative AI solutions by using RAG, Azure AI Search and other techniques.
- Design and develop ML models to address distribution and marketing efficiencies, including recommendation systems, content generation and competition optimization.
- Continuously monitor and improve the performance of machine learning models through data analysis and testing
- Collaborate with multi-functional teams to plan, scope, implement, and sustain predictive analytics solutions.
- Stay up to date with the latest advancements in AI technologies and methodologies, and evaluate their potential applications to improve our AI engineering processes.
Benefits
- Empowerment to learn and grow career
- Flexible environment where well-being and inclusion are supported
- Support in shaping the future
- Opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance
- Customizable benefits including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
- Adoption/surrogacy and wellness benefits
- Employee/family assistance plans
- Various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions)
- Financial education and counseling resources
- 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
- Full range of statutory leaves of absence
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
