AI/MLOps Delivery Consultant — Hybrid

IBM

Boston (MA)

Hybrid

USD 69,000 - 129,000

Full time

5 days ago
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Benefits offered by this job

Healthcare benefits
401(k) and financial planning
Paid time off and parental leave
Learning resources and certification

Job summary

IBM is seeking a Delivery Consultant for Data & AI to help clients optimize AI/MLOps configurations, deployments, adoption, usage, and analysis. You’ll work with IBM’s Data Platform products including OpenPages, watsonx.governance, Mistral, watsonx.ai, and watsonx.data to deliver value.

In this role you’ll collaborate with clients, tailor solutions to their business needs, and drive successful outcomes across industries in a hybrid work environment in the United States.

Qualifications

  • Required education: Bachelor's Degree.
  • Exposure to AI/MLOps products and ability to apply this knowledge to client consulting.
  • Understanding of IBM Data Platform products and ability to implement solutions.

Responsibilities

  • Deliver expert consulting services to clients for AI/MLOps configuration, deployment, adoption, usage, and analysis.
  • Apply knowledge of IBM Data Platform to implement client solutions.
  • Support product adoption and ensure clients get value from investment.
  • Analyze client data to identify trends and opportunities.
  • Collaborate with clients to tailor solutions to business needs.

Skills

AI/MLOps
Data Platform
Data analysis
Programming languages
Solution implementation
Consulting services

Education

Bachelor's Degree

Tools

OpenPages
watsonx.governance
Mistral
watsonx.ai
watsonx.data

Job description

IBM is seeking a Delivery Consultant for Data & AI to help clients optimize AI/MLOps configurations, deployments, adoption, usage, and analysis. You’ll work with IBM’s Data Platform products including OpenPages, watsonx.governance, Mistral, watsonx.ai, and watsonx.data to deliver value.

In this role you’ll collaborate with clients, tailor solutions to their business needs, and drive successful outcomes across industries in a hybrid work environment in the United States.

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