Machine Learning Engineer II

Machine Learning Engineer

The role is responsible for providing technical expertise as well as developing and maintaining technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Plays a lead role in implementing solutions with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting machine learning engineering solutions & systems in compliance with enterprise and industry standards.

The candidate will leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage, and support various technologies have the necessary tools, processes, and documentation required to effectively execute on their respective mandates.

Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release, and configure activities across Application, Platform, and Infrastructure. Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform, or Infrastructure releases.

Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas.

Act as the expert or lead innovator and agent of change for the programs and services under management.

Work with other teams to implement best practices for engineering and management and serve as an ambassador for ML Engineering.

Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications.

Identify and effectively manage stakeholder engagement and impacts across the enterprise.

Interpret client needs, assess engineering related requirements, and identify solutions to non-standard requests.

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.

Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes, and procedures, as well as organization issues.

Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business/organization, Bank standards, and may fulfill a governance role.

Integrates knowledge of business and functional priorities and acts as a key contributor in a complex and critical environment.

Adept at technical project execution, strategic planning, and effective communication. Accountable for specialized knowledge in a field of AI/ML Engineering and may provide leadership to teams or projects, shares expertise.

Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations.

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 or 1+ years relevant experience (includes post graduate experience).