Join a collaborative community to help the world’s leading organizations unlock the value of technology.
Shape your career by getting empowered and inspired.
Work on projects that help build a more sustainable and inclusive world.

Requirements

10+ years of experience in software development, with a focus on AI and machine learning.
Proven experience in marketing and capital markets domains, understanding their unique challenges and requirements.
Proficiency in Salesforce, including Salesforce Einstein, and other Salesforce Cloud solutions.
Strong programming skills in Python, Java, or other relevant languages.
Familiarity with cloud architecture and deployment strategies, particularly AWS.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication skills, both written and verbal.
Preferred Qualifications:
Experience with AWS AI and ML services, including Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend.
Knowledge of data engineering and ETL processes.
Experience with containerization technologies such as Docker and Kubernetes.
Understanding of data privacy and security best practices.

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software developmentAImachine learningprogrammingPythonJavadata engineeringETL processescontainerizationDocker

Soft Skills

problem-solvingindependent workteamworkcommunication