Senior Vice President, AI / Machine Learning Software Engineer

Archer

Pittsburgh (Allegheny County)

On-site

USD 200,000 - 280,000

Full time

10 hours ago
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Job summary

Archer, in collaboration with BNY, seeks a Senior Vice President AI/Machine Learning Software Engineer to join client platforms, global payments and trade teams in Pittsburgh.

You will provide senior-level technical consulting on ML model deployments, lead large-scale ML initiatives, and guide business stakeholders on governance, pipelines, and integration plans for performance optimization.

Qualifications

  • 7–9 years of leading and deploying machine learning solutions.
  • Experience in securities or financial services industry.
  • Experience leading scalable machine learning technologies.

Responsibilities

  • Provide comprehensive senior-level technical consulting to senior ML staff and act as the technical expert for design, deployment and maintenance of model pipelines.
  • Lead end-to-end strategic planning and oversight of large-scale ML systems and complex ML initiatives with direct strategic impact.
  • Consult with businesses to resolve highly complex ML and pipeline issues, ensure data/model governance, and maintain pipeline functionality and currency.
  • Develop flowcharts, layouts and documentation; integrate automated lifecycle components into pipelines and define implementation plans for model integration and performance optimization.

Skills

ML system design
Model deployment
Data governance
Stakeholder alignment

Education

Advanced degree in STEM engineering or equivalent

Job description

Archer is collaborating with BNY to connect them with exceptional professionals for this role.

We are seeking a future team member for the role of Senior Vice President AI/Machine Learning Software Engineer to join our client platforms, global payments and trade team. This role is located in Pittsburgh.

In this role, you’ll make an impact in the following ways:

  • Provide comprehensive senior-level technical consulting to senior machine learning staff and serve as the technical expert in the design, development, implementation and maintenance of model deployments and machine learning pipeline technologies and tools.
  • Lead end-to-end strategic planning and oversight of large-scale machine learning systems and complex machine learning initiatives with direct strategic impact.
  • Consult with businesses to resolve highly complex machine learning and pipeline issues, evaluate compliance with data and model governance standards, and maintain pipeline functionality and currency.
  • Develop flowcharts, layouts and documentation to satisfy requirements and solutions, integrate automated lifecycle components into fully functional pipelines, and define implementation plans for model integration and performance optimization.

To be successful in this role, we’re seeking the following:

  • Advanced degree in STEM engineering, or equivalent work experience, with experience preferred in related fields.
  • 7-9 years of related experience in leading and supporting the development and deployment of machine learning solutions, model integrations, and scalable machine learning technologies.
  • Experience in the securities or financial services industry.
  • Experience leading and supporting the development and deployment of machine learning solutions, model integrations, and scalable machine learning technologies.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary.

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