Where mergers and acquisitions take place, advising companies and private equity investors on all tax aspects of their transactions - acquisition, disposal, refinancing, restructuring or initial public offering. And helping with negotiations throughout the transaction life cycle, from initial due diligence to post-deal implementation
Where mergers and acquisitions take place, advising companies and private equity investors on all tax aspects of their transactions - acquisition, disposal, refinancing, restructuring or initial public offering. And helping with negotiations throughout the transaction life cycle, from initial due diligence to post-deal implementation
Understand business objectives and their value drivers to help align their tax and operating model, and optimize tax opportunities like research & development grants or deductions, incentives or other forms of government support
Rewards Optimization – Develop reward and governance framework that is aligned with business strategy; ensuring the framework drives business strategy and objectives, mitigate risk elements of reward and governance work, and optimize returns from reward components (compensation and benefits) to engender greater talent well-being and retention.
Client Advisory & Relationship Management: Act as a trusted advisor to senior client executives, helping shape their AI strategy and roadmap. Conduct strategic workshops and assessments to identify high-impact AI opportunities. Ensure strong client relationships and satisfaction by regularly engaging sponsors, providing thought leadership, and swiftly addressing any delivery issues or scope changes. Liaise between clients and technical teams to keep solutions aligned with business goals and industry regulations.
You help develop the business and acquire new clients and engagements, including the identification and pursuit of business opportunities by forging strong client relationships
You’ll assist the Senior Manager(s) and Manager(s) in managing engagements by participating in business development initiatives, building and maintaining good relationship with clients.
Infrastructure & Performance Optimization: Manage and optimize GPU/accelerator infrastructure (on cloud platforms like AWS, Azure, GCP or on-prem NVIDIA clusters) to support high-performance model training and inference. Drive token efficiency, latency reduction, and cost optimization in AI pipelines (through techniques like model quantization, batching, and caching).
Collaborate with application developers and database administrators to deliver creative solutions to difficult technology challenges and business requirements