Associate Machine Learning Engineer
Associate Machine Learning Engineer
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Job Description
The Opportunity
The Machine Learning Engineer will join the Group Advanced Analytics team focusing on packaging models automating workflows and operationalizing analytics solutions to deliver business value across JH/Manulife. The ideal candidate should be an advanced programmer with a strong grasp of Data Science Data Engineering application development software engineering and DevOps.
Responsibilities
- Collaborate closely with Data Scientists and Data Engineers to design and implement scalable efficient machine learning pipelines that meet business needs.
- Evaluate machine learning models to ensure optimal performance and scalability making necessary adjustments to improve outcomes.
- Deploy machine learning models into production environments ensuring seamless integration and continuously monitor their performance to maintain reliability and accuracy.
- Manage and oversee data science infrastructure to streamline the model development and deployment process ensuring efficient workflows.
- Propose and implement appropriate tools including languages libraries and frameworks to enhance project and outcomes.
- Work in collaboration with infrastructure architects to develop scalable and efficient solutions that align with organizational goals and technological capabilities.
- Collaborate with multifunctional teams to integrate machine learning models into existing systems and processes ensuring a smooth transition and effective implementation.
- Stay ahead of the latest advancements in Machine Learning (ML) Artificial Intelligence (AI) and Generative AI (GenAI) to incorporate innovative techniques and technologies into projects.
- Mentor peers and provide guidance on ML/LLMOps standard practices fostering a culture of continuous learning and improvement within the team.
How will you create impact
Machine Learning Engineers (MLEs) are integral to the central team playing a crucial role in amplifying the impact of the Group Advanced Analytics by supporting various Data Science teams with new development and deployments. They are responsible for providing infrastructure and deployment support ensuring the seamless operationalization of models and MLOps processes and establishing standardized standard methodologies across all teams to enhance efficiency and consistency.
What motivates you
- You obsess about customers listen engage and act for their benefit.
- You think big with curiosity to discover ways to use your agile approach and enable business outcomes.
- You thrive in teams and enjoy getting things done together.
- You take ownership and build solutions focusing on what matters.
- You do what is right work with integrity and speak up.
- You share your humanity helping us build a diverse and inclusive work environment for everyone.
What we are looking for
- A bachelors degree in computer science engineering or a related field is required with a graduate degree being preferred.
- Extensive handson experience with largescale software engineering systems emphasizing the development and deployment of machine learning models.
- Proven experience in operationalizing code through DevOps pipelines including tools like Git Jenkins and code scanning technologies.
- Strong programming skills in Python with experience in machine learning libraries like TensorFlow PyTorch or scikitlearn.
- Strong familiarity with MLOps practices including model monitoring versioning and lifecycle management to ensure robust and scalable deployment of machine learning solutions.
- Advanced knowledge of SQL and experience working with relational databases alongside proficiency in RDBMS and NoSQL databases.
- Experience in infrastructure management including cloud computing Linux OS networks Docker and Kubernetes.
- Expertise in cloudnative architecture preferably using the Azure stack with skills in Azure ML Databricks (Spark) and Azure Data Factory as valuable assets.
- Proficient in building ETL pipelines for feature engineering on largescale datasets using Spark.
- Experience with Large Language Models (LLMs) including proprietary or open source models..
- Ability to balance urgency with the delivery of highquality pragmatic solutions.
- Expertise in delivering analytics and machine learning products with a deep understanding of agile product delivery in enterprise environments.
What can we offer you
- A competitive salary and benefits packages.
- A growth trajectory that extends upward and outward encouraging you to follow your passions and learn new skills.
- A focus on growing your career path with us.
- Flexible work policies and strong worklife balance.
- Professional development and leadership opportunities.
Our commitment to you
- Valuesfirst culture: We lead with our Values every day and bring them to life together.
- Boundless opportunity: We create opportunities to learn and grow at every stage of your career.
- Continuous innovation: We invite you to help redefine the future of financial services.
- Delivering the promise of Diversity Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
- Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.
#LIHybrid
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 pregnancyrelated 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 .
Primary Location
Working Arrangement
Salary range is expected to be between
$60900.00 CAD $113100.00 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 jobrelated 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 longterm 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 paid time off provisions.
Required Experience:
IC
Employment Type
Full-Time
