Senior Data & AI Engineer
Job Description
Manulife, a leading international financial services provider, is seeking a Senior Data & AI Engineer to join their innovative team. This role combines advanced machine learning with data engineering to drive business growth through AI-powered solutions. The position offers a unique opportunity to work on cutting-edge AI applications while architecting scalable data pipelines in a production environment.
The role demands expertise in both data engineering and machine learning, with responsibilities spanning from designing data infrastructure to deploying AI models. You'll work with various data technologies including cloud services, data warehouses, and real-time processing systems. The ideal candidate should have 5-7 years of experience and a strong educational background in Engineering or Data Science.
Manulife offers a comprehensive benefits package including health, dental, vision, and mental health coverage, along with retirement benefits and flexible work arrangements. The company's commitment to digital innovation and sustainable growth makes this an exciting opportunity for someone passionate about using AI to solve complex business problems.
Working in a hybrid environment across Toronto or Boston locations, you'll be part of a global team that values diversity and inclusion. The role offers competitive compensation ranging from $69,000 to $129,000 CAD, with additional incentive programs based on performance. This position is perfect for a senior engineer looking to make an impact in a forward-thinking financial services organization while working with cutting-edge AI technologies.
Responsibilities For Senior Data & AI Engineer
- Design, build, and maintain reliable data infrastructure for collection, storage, and analysis
- Implement data orchestration pipelines and quality control processes
- Design and maintain scalable data solutions including data warehouses and data lakes
- Collaborate with Data Scientists to create features and deploy ML models
- Design analytical tools and algorithms for Data Engineering activities
- Deploy machine learning models with production systems
- Design and promote data querying APIs
- Manage tools and frameworks within the data engineering ecosystem
Requirements For Senior Data & AI Engineer
- Knowledge of database systems, data lakes, and NoSQL databases
- Knowledge of data warehouse concepts and architectures
- Experience with Cloud native data services such as Pyspark, Scala, Azure Datafactory and Databricks
- Proficiency in data processing frameworks (HDFS, MapReduce)
- Experience with integrating to back-end/legacy environments
- Knowledge of AI model deployment in production environments
- Experience handling real-time data for AI Applications
- Bachelor's or Master's in Engineering or Data Science
- 5-7 years of Data Engineering or Software Development experience
Benefits For Senior Data & AI Engineer
- Health insurance
- Dental coverage
- Mental health coverage
- Vision insurance
- Short and long-term disability
- Life insurance
- AD&D insurance
- Adoption/surrogacy benefits
- Wellness benefits
- Employee assistance plans
- Retirement savings plans
- Pension
- Global share ownership plan
- Paid time off
- Holiday pay
- Sick days
- Personal days
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