Web Application Architect 4, Machine Learning (INDG)

Bloomberg Industry Group

$230K — $275K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in related field or equivalent work experience
  • At least 7 years of experience in software development and ML applications
  • Experience in AI/ML process transformation for large organizations
  • Deep expertise in current AI/ML programming languages and techniques
  • Proven track record of large-scale ML project delivery
  • Familiarity with Agile/Scrum and DevSecOps practices
  • Excellent communication and leadership skills with influence across teams

Responsibilities

  • Architect and deliver high-quality technical solutions in ML
  • Influence technical trends in ML and AI across product areas
  • Present ML solutions for large initiatives across multiple verticals
  • Solve complex problems creatively and promptly
  • Shape architecture and ship large services or major infrastructure
  • Identify strategic growth opportunities for the organization
  • Provide technology roadmap and vision for the team
  • Collaborate with cross-functional teams and explain technical solutions clearly

Benefits

  • Opportunity to lead enterprise-wide AI/ML initiatives
  • Collaboration with diverse teams across various departments
  • Exposure to the latest ML algorithms and technologies
  • Participation in strategic growth and technology visioning
  • Engagement in special projects beyond the primary role
Full Job Description
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.

What you will do:

  • 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.

You need to have:

  • 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 expertiseof 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.

Compensation Range:

$230,000.00-$275,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


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