Web Application Architect 4, Machine Learning (INDG)

Bloomberg Industry Group•Arlington, VA
•$230,000 - $275,000

About The Position

Leads enterprise AI/ML strategy, architecture, governance, evaluation, and value realization across HR, Finance, Product, Sales, Marketing, and News & Content, creating reusable AI capabilities, standards, and operating models that drive scalable process transformation and measurable business outcomes.

Requirements

  • Master's or PhD in related field or equivalent work experience.
  • At least 7 years of software development experience and/or commensurate skills building ML applications for commercial use with modern software engineering practices.
  • Experience delivering AI/ML-enabled process transformation for multi-hundred person organizations.
  • Deep expertise of current AI/ML programming languages, including large language models, frameworks, libraries, data structures and data modeling techniques.
  • Proven track record of delivering large-scale machine learning projects from conception to deployment, with a focus on cloud-based solutions.
  • Familiarity with distributed software delivery practices such as Agile/Scrum and DevSecOps.
  • Excellent communication, leadership, and influencing abilities, with a demonstrated ability to guide technical direction across multiple teams and products, emphasizing AWS, DevOps, and cloud knowledge.

Responsibilities

  • Architect, design and deliver high-quality technical solutions by promoting and defining INDG best practices for ML algorithms, tools, models, and data structures.
  • Serve as a strong influencer on technical trends in ML and AI across multiple product areas.
  • Deliver and present ML solutions for large initiatives across multiple verticals.
  • Solve complex problems in a creative manner in a timely fashion.
  • Shape broad architecture; ship multiple large services, complex libraries, or major pieces of infrastructure.
  • Identify technology strategic growth opportunities that enable INDG to grow as a business.
  • Participate in providing technology roadmap/vision for the team.
  • Collaborate with cross-functional teams and communicate technical solutions to non-technical people across the organization.
  • Participate in special projects and perform other duties as assigned.
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