Remote ML/AI Workstream Lead

IBM Computing

Paramus (NJ)

À distance

USD 140 000 - 200 000

Plein temps

Il y a 12 jours
Générateur de candidature

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Résumé du poste

IBM Consulting seeks a Managing Consultant ML/AI Engineer to own an end-to-end workstream, translating ambiguous asks into concrete designs and plans, and delivering with minimal guidance. You’ll ensure quality, guide junior engineers, and collaborate with business stakeholders to derive actionable insights.

You will shape AI-accelerated workflows, decide where LLM tooling fits, and communicate results clearly to drive strategic impact across client projects.

Qualifications

  • Strong software engineering with maintainable designs and solid testing/validation.
  • End-to-end ML/AI delivery from ambiguous problem to deployed solution.
  • Ability to frame problems, weigh trade-offs, and decide under ambiguity.
  • Plan and sequence a workstream; manage risks and dependencies for on-time delivery.
  • Use modern AI tooling, including LLMs/agents, to accelerate work.
  • Mentor or review junior engineers and uplift team capability.
  • Communicate results clearly to stakeholders and bridge business and tech.

Responsabilités

  • Own a workstream from ambiguous need to concrete design and delivery.
  • Design for maintainability with tests and validation.
  • Design AI-accelerated workflows and determine where AI tooling fits.
  • Mentor 1-2 junior engineers and unblock blockers.
  • Engage stakeholders to gather requirements and report progress.
  • Interpret data and communicate actionable insights and recommendations.

Connaissances

Software engineering
ML/AI delivery
Ambiguity judgment
Execution planning
Modern AI tooling
Emerging leadership
Communication bridging business and技

Outils

Version control

Description du poste

IBM Consulting seeks a Managing Consultant ML/AI Engineer to own an end-to-end workstream, translating ambiguous asks into concrete designs and plans, and delivering with minimal guidance. You’ll ensure quality, guide junior engineers, and collaborate with business stakeholders to derive actionable insights.

You will shape AI-accelerated workflows, decide where LLM tooling fits, and communicate results clearly to drive strategic impact across client projects.

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