Build, review and implement solutions with AI/GenAI, ML and deep learning (NLP) techniques and develop APIs using Python Able to handle large data volumes using most latest techniques and data tools Strong experience of working with advanced GenAI models like GPT 4, GPT 4o, Llama etc, in addition to experience on AI architecture and solutions leveraging vector DBs / RAG based approaches Work on buy /sell-side due diligence engagements; with a strong understanding of sector and functions to be able to identify value creation opportunities for analytics application Hands on deliver and manage mid to large size deals and ensure smooth delivery on assigned engagements, products with regions Ability to communicate effectively with cross functional teams across regions and coordinate b/w the core functional and technology teams Stakeholder management and experience of leading mid market deals from analytics point Preparation of demo tools to a standard that can be shared directly with clients Direct client engagement delivery. A strong work initiative, high-energy level, and ability to adapt to new challenges and concepts, including a proactive approach and capacity to perform multiple workstreams and tasks A desire and ability to travel while working within the transaction advisory, financial accounting advisory and mergers and acquisition-oriented environment Ability to work both independently and as part of a team, including robust communication skills Utilizing statistical tools to interpret data sets to identify trends and patterns Strong financial, accounting, analytical and communication skills, facilitating clear and concise messaging to teammates, clients and other technology personnel Uphold the firm's code of ethics and business conduct.
Minimum of 5-9 years related work experience in developing and implementing AI/GenAI, ML models across industries. 2 years of proven experience working with natural language generation / processing, LLM techniques. Familiarity with AI/ML frameworks 4 years of experience in MS Azure based deployment with foundational knowledge of Azure Cognitive Services is required Strong experience in application of statistical techniques like linear and non-linear regressions / classification and optimization areas as well as implementing forecasting models. Good to have experience on Agentic AI frameworks and workflow orchestration Strong experience in Merger & Acquisition domain areas like due diligence, deal structuring, financial reporting, value creation and post-merger phases A Bachelor’s degree in Engineering from tier 1 college (Master’s in Business / domain would be nice to have) Experienced in programming, business intelligence (BI) and enterprise resource systems, including data collection, analysis and presentation: Programming languages (Python – must to have) Analytics and data Platforms (AWS, Azure, Snowflake – any one or more of these, preferred Azure) Businesss Intelligence layer (PowerBI, Tableau etc – good to have)
Superior analytical and problem-solving skills Excellent interpersonal and client relationships skills Strong written and verbal communication skills Dedication to teamwork Proficiency in Microsoft Office, with focus on Word and Excel Ability to adapt to ever changing client demands Flexibility to travel, as needed
Should have understanding on one more industry / sectors and desire to grow into a techno-functional consultant role Able to run business performance management techniques including financial reporting, scenario and optimization models Participating in discussions held with Management to determine data analytic needs, data requests and potential impacts on the buy-side/sell-side diligence process, as well as prospective on-going projects