Senior Data & AI Engineer
Senior Data & AI Engineer
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Job Description
We are seeking a highly skilled Senior AI & Data Engineer to join our diverse this role you will design develop and implement advanced machine learning data models and data-driven solutions that drive innovation and business growth! You will collaborate closely with multi-functional teams to architect scalable data pipelines and deploy AI/Agentic applications in a production environment. The ideal candidate will have a strong background in data engineering machine learning and cloud technologies with a consistent track record of delivering impactful AI solutions. If youre passionate about using AI to solve problems and crafting data-driven decision-making contact us!
Position Responsibilities:
- Designs builds and maintains reliable efficient and scalable data infrastructure for data collection storage transformation and analysis.
- Implements data orchestration pipelines data sourcing cleansing augmentation and quality control processes.
- Collaborates with business and technology partners to comprehend current and future data infrastructure requirements.
- Designs builds and maintains scalable data solutions including data pipelines data models and applications for efficient and reliable data workflow; including those specifically tailored for machine learning workflows.
- Designs implements and maintains existing and future data platforms like data warehouses data lakes data lakehouses for structured and unstructured data.
- Collaborates with Data Scientists and Engineers to create features and pre-process data for ML models and move data analysis models into production.
- Designs and develops analytical tools algorithms data landscape modernization roadmaps and programs to support Data Engineering activities like writing scripts and automating tasks.
- Applies different data interchange formats to meet data requirements and constantly monitors data integrity throughout the organization.
- Deploys machine learning models with existing production systems and workflows considering compatibility with other systems data sources and APIs.
- Designs and promotes effective use of data querying APIs to provide easy access to organizational data sources.
- Evaluates integrates and manages tools and frameworks within the data engineering ecosystem ensuring compatibility and efficiency in model development and deployment.
- Designs and promotes data versioning and lineage tracking including transparency and traceability for data used in ML model training and inference.
Required Qualifications:
- Knowledge of database systems data lakes and NoSQL databases
- Knowledge of data warehouse concepts and architectures (e.g. Synapse & Datbricks)
- Familiarity with data quality and data modelling tools
- Proficiency in using version control systems like Git for managing codebase
- Experience with Cloud native data services such as Pyspark Scala Azure Datafactory and Databricks
- Proficiency in data processing frameworks and techniques such as HDFS MapReduce Storage formats (Avro Parquet) Stream processing
- Experience with integrating to back-end/legacy environments
- Knowledge of AI model deployment in production environments
- Experience handing real-time data for AI Applications
- Ability to build and deploy Data Ops. And ML Ops. Pipelines in Cloud-native environments
Preferred Qualifications:
- 5-7 years for Data Engineering or Software Development
- Bachelors or Masters in Engineering or Data Science
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 distributed team well support you in crafting 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
Toronto OntarioWorking Arrangement
Salary range is expected to be between
$94220.00 CAD - $174980.00 CADIf 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 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 and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays vacation personal and sick days and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S. please contact for more information about U.S.-specific paid time off provisions.
Required Experience:
Senior IC
Employment Type
Full-Time
