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Selected role

Lead Machine Learning Engineer

Sun Life Waterford, WD, IE

Senior Full-time

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Design, develop, support, deploy and/or test and influence leading data science and machine learning solutions of medium scale that are high-quality, innovative, efficient, creative, scalable, adaptable, dynamic, fully performing and comply with all standards and best practices in support of business and Client outcomes and objectives. Work independently and applies leading data and analytical skills, tools, practices, and techniques to all deliverables. Exhibits leading understanding of data and analytical concepts such as: data modeling, development, testing, governance, security, performance, DevSecOps, data administration, data technologies, agile planning, and focused on learning more about these domains and continuously honing their craft. Lead across U.S. IT and business groups our strategy of realizing business value from data and utilizing data as a strategic asset. Ability to focus on task at hand, follow-through on prescribed plan with ability to be flexible and think under pressure. Highly motivated team player with a strong desire to learn, grow, and continuously improve.

Preferred skills

Leading data science, machine learning models and IT solutions development (programming) foundation.
Proficiency in Python and R programing languages.
Strong ability in utilizing data science platforms (Dataiku a distinct advantage) along with Linux, container and AWS based environments.
Knowledge in AI and GenAI based development patterns (for example: RAG).
Ability to apply leading testing skills, tools/frameworks, techniques, processes, and principles to software solutions in support of defect management, automation, diagnosis and reporting in a complex production environment; writes and executes test plans
Ability to collaborate on, drive and deliver data-informed product strategies
Improve data quality, application and database performance, reliability, and scale
Effectively utilize, influence, and lead multiple data model and data development and deployment methodologies, processes, development best practices and DevSecOps and DataOps principles
Remain current with technology trends and influence change across U.S. IT
Leading understanding of data governance, data protection, privacy, and security best practices
Participate in data modeling and data analysis, development and testing, ability approve the design on medium data product features, and validate vulnerability fixes
Ability to write data mapping and metadata specifications for medium features
Technically minded problem solver

Qualifications

Bachelors / Masters degree in computing or numerical areas - or equivalent industry experience.

Responsibilities

Design, develop, install and/or test leading data science and machine learning solutions that are high-quality, innovative, efficient, secure, creative, scalable, adaptable, dynamic, fully performing and comply with all standards and best practices in support of business and Client outcomes and objectives
Drive U.S. IT and U.S. business groups to deliver data-informed product strategies
Help make data more useful and accessible for consumers of data
Execute full software and product development life cycle (SDLC) and lead continuous improvements leveraging Agile best practices
Develop leading deliverables to deliver value generating data solution(s) seeking business and Client feedback across U.S. IT and business groups
Write advanced well-designed, testable, flexible, and scalable data science and machine learning models and supporting code
Transform and map data from source to destination using various technology solutions
Produce specifications and determine operational feasibility
Integrate leading software components into a fully functional software system
Develop leading software verification (testing) plans and quality assurance procedures
Document and maintain leading technical solution functionality
Troubleshoot, debug, and upgrade existing systems
Deploy leading programs and evaluate business and Client feedback
Ensure data solutions are updated with latest features
Participate in code reviews, ability to sign off on large features, and validate vulnerability fixes
Ability to write functional specifications for large features
Lead improvements to data product quality, performance, reliability, and scale within domains
Effectively mentor other engineers
Proactively improve application performance, reliability, and scale
Augment existing data sets with other data sources (i.e. external) to make reusable data assets
Awareness of industry trends, vendors, tools, and other technology solutions to influence architectural design and decisions
Lead a "data-first" approach to problem solving and designing IT solution

Job Category:

Advanced Analytics

Posting End Date:

12/06/2026

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