What are the responsibilities and job description for the Machine Learning Specialist position at Global Systems Search Inc?
Machine Learning Expert
A leading international financial services firm which operates in 74 countries with over 192,000 employees, primarily in Europe. It has strong positions in three main areas : Domestic Markets, International Financial Services, and Corporate & Institutional Banking, catering to corporate and institutional clients. The bank supports a wide range of clients—including individuals, SMEs, and organizations—through services like financing, investment, savings, and insurance. It has key domestic markets in Belgium, France, Italy, and Luxembourg, leads in consumer lending, and continues to expand its retail banking model across the Mediterranean, Turkey, Eastern Europe, and parts of the United States. It also maintains a robust presence in Asia-Pacific and the Americas.
Business Overview :
A dedicated team focuses on supporting internal clients through comprehensive transformation journeys, from consultation to execution. Its AI / Machine Learning center of excellence, based in New York and Montreal, leverages a thriving ecosystem of startups, academic institutions, and talented professionals to deliver innovative, tailored AI solutions that enhance operations and mitigate risks. The lab is part of a global network of AI experts collaborating on projects across locations like Paris, Lisbon, London, and Warsaw. This role offers an exciting opportunity for passionate Machine Learning experts to innovate, advance their careers, and achieve technical excellence in a dynamic environment.
Responsibilities :
The Machine Learning (ML) Expert will :
- Understand the business needs and requirements and translate them into ML solutions.
- Communicate technical concepts and results to non-technical stakeholders in a clear and concise manner.
- Collaborate with internal clients to identify new opportunities for ML applications and models.
- Ensure that ML Models are aligned with overall strategy and goals.
- Work with application development teams to deploy and support ML models in production environments.
- Stay up-to-date with the latest developments in ML and AI and apply this knowledge to improve the performance of applications (current & past) and to benefit the team.
Minimum Required Qualifications :
Nice-to-have Qualifications :
