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... 2+ years of hands-on experience with: GenAI roadmap development and scaling use cases across ... Preferred : • Master's degree in Data Science, Computer Science, Mathematics, Statistics ...
... 2+ years of hands-on experience with: GenAI roadmap development and scaling use cases across ... Preferred : • Master's degree in Data Science, Computer Science, Mathematics, Statistics ...
... 2+ years of hands-on experience with: GenAI roadmap development and scaling use cases across ... Preferred : • Master's degree in Data Science, Computer Science, Mathematics, Statistics ...
... 2+ years of hands-on experience with: GenAI roadmap development and scaling use cases across ... Preferred : • Master's degree in Data Science, Computer Science, Mathematics, Statistics ...
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Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics * 2+ years of experience in the ...
Master's degree in a quantitative field such as Mathematical Finance, Financial Engineering, Statistics, Physics, Management Science, Operations Research, or Economics * 2+ years of experience in the ...
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Safety Engineer II Civil
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Statistical Programmer Two information
Full-time
This job post has expired 1 day ago. Applications are no longer accepted.
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Deloitte is a leading consulting firm that is looking for an AI Solutions Engineer to join their AI & Engineering team. The role involves leading the design, delivery, and scaling of AI and data science solutions for complex business needs in the supply chain and manufacturing sectors.
Responsibilities:
• Lead large, complex client engagements focused on artificial intelligence, data science, and analytics solutions across life sciences manufacturing, quality, supply chain, digital operations, and predictive maintenance
• Design and implement scalable AI solutions, including generative artificial intelligence use cases, digital twins, scenario modeling, forecasting, and industrial optimization capabilities
• Manage day-to-day stakeholder relationships, provide technical and delivery oversight, and guide teams across multiple locations through execution of project deliverables
• Develop recommendations, points of view, and client-facing materials that support business decisions, delivery outcomes, and growth opportunities
• Mentor junior practitioners and contribute to practice development through proposal support, thought leadership, and team development
Qualifications:
Required:
• 6+ years of consulting or industry technology experience delivering data, analytics, and artificial intelligence solutions for life sciences supply chain, manufacturing, quality, digital operations, or predictive maintenance
• 2+ years of hands-on experience with: GenAI roadmap development and scaling use cases across functions or sites, Digital twins, scenario modeling, and industrial or manufacturing optimization, machine learning, deep learning, computer vision, NLP, forecasting, and model validation, programming in Python, SQL, PySpark, R
• 1+ years of experience leading, managing, and delivering complex technical engagements with resources in multiple locations
• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or Operations Research
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or Operations Research
• Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience developing materials for client workshops and interactive working sessions
• Experience presenting technical content to small and large stakeholder groups
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.