Senior Vice President AI/Machine Learning Software Engineer
About the role
About The Company
BNY Mellon is a leading global financial services corporation renowned for its innovative approach and commitment to excellence. With a rich history spanning over two centuries, BNY Mellon provides comprehensive investment management, asset servicing, and wealth management solutions to clients worldwide. The company is dedicated to leveraging cutting-edge technology and innovative strategies to deliver superior financial services and solutions. As a trusted partner to institutions, corporations, and individual investors, BNY Mellon plays a vital role in the global financial ecosystem, managing nearly 20% of the world's investible assets. The organization fosters a culture of collaboration, innovation, and integrity, empowering its employees to drive meaningful impact and shape the future of finance.
About The Role
We are collaborating with BNY Mellon to identify a highly skilled and experienced Senior Vice President AI/Machine Learning Software Engineer to join their dynamic global payments and trade team in Pittsburgh. This pivotal role involves leading the design, development, and deployment of advanced machine learning models and pipelines that support the company’s strategic initiatives. As a key technical expert, you will provide guidance on complex machine learning solutions, oversee large-scale systems, and ensure the seamless integration of AI technologies into the company’s core platforms. Your expertise will directly influence the efficiency, security, and innovation capacity of BNY Mellon’s financial services offerings, helping to shape the future of banking and payments on a global scale.
Qualifications
The ideal candidate will possess an advanced degree in STEM engineering or a related field, complemented by substantial work experience in machine learning and AI. A minimum of 7-9 years of relevant experience is required, particularly in leading and supporting the development and deployment of scalable machine learning solutions. Candidates should have a proven track record in model integration, pipeline management, and deploying complex AI systems within the financial services or securities industry. Strong technical expertise in designing and maintaining machine learning pipelines, coupled with excellent problem-solving and communication skills, is essential. Familiarity with data governance standards, compliance requirements, and automated lifecycle management will be advantageous.
Responsibilities
Provide senior-level technical consulting to machine learning teams, guiding the design, development, and deployment of robust AI models and pipelines.
Lead strategic planning and oversight of large-scale machine learning initiatives with significant business impact, ensuring alignment with organizational goals.
Collaborate with business units to troubleshoot complex machine learning and pipeline issues, ensuring compliance with data and model governance standards.
Develop detailed flowcharts, documentation, and layouts to meet project requirements, integrating automated lifecycle components into functional pipelines.
Define and implement plans for model integration, performance optimization, and continuous improvement of machine learning systems.
Stay abreast of emerging AI and machine learning trends, incorporating innovative solutions to enhance platform capabilities.
Mentor junior team members, fostering a culture of continuous learning and technical excellence within the team.
Benefits
BNY Mellon offers a comprehensive benefits package designed to support the health, well-being, and professional growth of its employees. This includes competitive salary packages, health insurance plans, retirement savings options, and paid time off. Employees have access to ongoing training and development programs to enhance their skills and advance their careers. The company promotes a flexible work environment, encouraging work-life balance and remote work opportunities where applicable. Additionally, BNY Mellon provides various wellness initiatives, employee assistance programs, and recognition schemes to foster a positive and inclusive workplace culture. Joining BNY Mellon means becoming part of a forward-thinking organization committed to innovation, diversity, and excellence.
Equal Opportunity
BNY Mellon is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, gender, sexual orientation, age, disability, or any other protected characteristic. We believe that a diverse workforce enhances our ability to innovate and serve our clients effectively. All qualified applicants will receive consideration for employment without regard to any protected status. We are dedicated to fostering a workplace where everyone feels valued, respected, and empowered to succeed.
Responsibilities
- Provide senior-level technical consulting to machine learning teams, guiding the design, development, and deployment of robust AI models and pipelines.
- Lead strategic planning and oversight of large-scale machine learning initiatives with significant business impact.
- Collaborate with business units to troubleshoot complex machine learning and pipeline issues.
- Develop detailed flowcharts, documentation, and layouts to meet project requirements.
- Define and implement plans for model integration, performance optimization, and continuous improvement of machine learning systems.
- Stay abreast of emerging AI and machine learning trends.
- Mentor junior team members, fostering a culture of continuous learning and technical excellence.
Qualifications
- Advanced degree in STEM engineering or a related field.
- 7-9 years of relevant experience in machine learning and AI.
- Proven track record in model integration, pipeline management, and deploying complex AI systems.
- Strong technical expertise in designing and maintaining machine learning pipelines.
- Excellent problem-solving and communication skills.
- Familiarity with data governance standards and compliance requirements.
Benefits
- Competitive salary packages.
- Health insurance plans.
- Retirement savings options.
- Paid time off.
- Ongoing training and development programs.
- Flexible work environment and remote work opportunities.
- Wellness initiatives and employee assistance programs.