Machine Learning Engineer I

Job Title

Provide expertise on fundamental engineering practices for the broader AI/ML engineering team and inspire the adoption of ML engineering practice across the organization.

Interpret the meaning of new strategic directions and set objectives and measurements.

Implement monitoring and feedback systems to evaluate progress and identify ways of making continuous improvements.

Gather and analyze information or data on current and future trends of best engineering practices.

Seek information on issues impacting the progress of organizational, engineering and process issues.

Adhere to enterprise frameworks or methodologies that relate to activities for our business area.

Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.

Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate.

Ensure business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)

Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.

Conduct internal and external research projects; support the development/ delivery of presentations / communications to management or broader audience.

Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices.

Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.

Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.

Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.

Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.

Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.

Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.

Provide thought leadership and/or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.

Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.

Participate in personal performance management and development activities, including cross training within own team.

Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.

Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.

Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.

Contribute to a fair, positive and equitable environment that supports a diverse workforce.

Act as a brand ambassador for your business area/function and the bank, both internally and/or externally.

Work autonomously and is accountable for sound knowledge of AI/ML engineering fundamentals, and of various AI/ML engineering frameworks, tools, processes and procedures, as well as organization issues, best engineering practices and business/organization standards.

Sound knowledge of applications, systems, innovation, system design activities, best engineering practices, business/organization standard.

Solves complex problems, takes new perspectives on existing solutions, independently performs tasks from end to end to deliver quality results and meet timelines. May work under guidance of more senior roles.

Generally, reports to a Senior Manager or above role.

Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate’s degree preferred with either progressive project work experience.