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Data Science, Engineering - AI/ML Developer(VP)

A global financial services company that institutional investors rely on to help manage risk, drive performance and profitability.
Boston, MA, USAQuincy, MA, USA
$130,000 - $205,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
12+ years of experience
AI · Finance

Description For Data Science, Engineering - AI/ML Developer(VP)

State Street, a leading global financial services institution, is seeking a seasoned AI/ML Developer at the Vice President level to join their technology team. This role presents an exciting opportunity to work with cutting-edge technologies in the financial services sector, focusing on artificial intelligence and machine learning applications.

The position requires a highly experienced professional with 12-15 years of software development experience, including deep expertise in Python programming and AI/ML systems. You'll be working within a strong development team, helping to develop new challenging features using cutting-edge technologies in a cloud environment, particularly with Databricks.

As an AI/ML Developer, you'll be responsible for designing and implementing machine learning solutions that drive business value. The role involves end-to-end development, from data lake design to model deployment, ensuring all solutions maintain high standards of efficiency, security, and scalability. You'll work with both cloud and on-premises systems, requiring a comprehensive understanding of modern cloud architectures and security practices.

The ideal candidate should have a strong background in financial services, though this isn't mandatory. Technical expertise should include advanced Python programming, experience with Scala/PySpark, database design, and cloud platforms. Knowledge of natural language processing is considered a plus. Leadership skills are essential as you'll be managing both offshore and onshore teams.

This role offers the opportunity to work at the forefront of AI/ML applications in financial services, with exposure to high-volume, high-velocity transaction systems. You'll be part of a global organization that values innovation, professional development, and inclusive culture. The position offers competitive compensation ranging from $130,000 to $205,000 annually, reflecting the senior level and technical expertise required.

State Street maintains a strong commitment to diversity and inclusion, considering applications without regard to various protected characteristics. They offer a supportive work environment where employees can balance professional and personal life, including paid volunteer days and access to employee networks.

Last updated 2 hours ago

Responsibilities For Data Science, Engineering - AI/ML Developer(VP)

  • Design and develop AI/ML components and solutions using Python in Cloud/Databricks
  • Develop/implement AI/ML models to support current and future business needs
  • Manage and use appropriate tools in the cloud, Build and deploy AI/ML Models with CICD experience
  • End to end Cloud Data Lake design & development including data ingestion, data modeling and data distribution
  • Build data integrations between on-prem/cloud-based systems
  • Develop/implement cloud infrastructure
  • Participate in technical design, application build, configuration, unit testing, and production deployment
  • Ensure cloud solutions exhibit high cost efficiency, performance, security, scalability, and reliability
  • Manage offshore and onshore teams

Requirements For Data Science, Engineering - AI/ML Developer(VP)

Python
  • 12-15 years of Software Development work experience
  • 3+ years of advance Python programming
  • Experience with Cloud platforms, preferably Databricks
  • Strong skill-set in Python, Scala/PySpark, PL/SQL, PERL/scripting
  • Experience in Data Modeling and database design
  • Experience in building systems using modern, scalable, cloud native architectures
  • Strong knowledge of Cloud Security in AWS/Azure
  • Proficiency with CICD and DevOps
  • Bachelor's/Master's Degree in Computer Science, Engineering or Math
  • Strong analytical skills
  • Experience with managing offshore and onshore teams

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