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Tech Stack
Tools & technologiesAzureCloud
About the role
Key responsibilities & impact- Lead client-facing discussions to gather requirements
- Facilitate workshops to translate business challenges
- Oversee the execution of AI engagements while maintaining quality
- Develop actionable AI architecture and delivery plans
- Maintain adherence to timelines and project standards
- Collaborate with teams to drive successful outcomes
- Identify and mitigate risks throughout the project
Requirements
What you’ll need- Bachelor's Degree in Engineering, Computer Science, Artificial Intelligence, Data Science, Statistics
- 4 years of experience in relevant roles, preferably in a public accounting firm or a large corporation
- Oral and written proficiency in English required
- Certifications such as Azure AI Engineer, CISA, Certified Public Accountant (partial), or relevant data science/cloud certifications
- Proven experience designing and scaling AI/ML solutions
- Skilled in the entire ML lifecycle
- Managing complex stakeholder relationships
- Knowledge of Information Security and Data Protection
Benefits
Comp & perks- Dynamic and digitally enabled training
- Opportunities for professional growth
- Lead and mentor team members
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI architectureAI engagementsML lifecycledata sciencecloud certificationsdesigning AI solutionsscaling AI solutionsdata protectioninformation security
Soft Skills
client-facing discussionsrequirement gatheringworkshop facilitationproject managementcollaborationrisk mitigationcommunicationstakeholder management
Certifications
Azure AI EngineerCISACertified Public Accountant