PEPI - Manager, Generative AI – AI Engineer (Open to All US locations)

Description

Alvarez & Marsal is a leading independent global professional services firm, specializing in providing turnaround management, performance improvement and corporate advisory services, is seeking to expand its Private Equity Performance Improvement (PEPI) Generative AI team. With more than 7,000 professionals based in 40 locations across North America, Europe, Asia, and Latin America, our firm excels in problem solving and value creation. Drawing on a strong operational heritage and hands on approach, our professionals work closely with organizations and stakeholders to help tackle complex business issues and maximize value.

A&M's Private Equity Performance Improvement Services (PEPI) practice, with offices throughout the US, focuses on serving upper middle market and large cap private equity firms who have engaged A&M to help improve operating results at their portfolio companies. The companies we serve are upper middle market in the $50 million to $1 billion plus range.

Our PEPI services include:

Merger Integration & Carveouts

IT pre acquisition diligence

IT post acquisition implementations and integration

Interim Management

CFO Services

Commercial Due Diligence/Strategy

Rapid Results

Supply Chain

Private Equity Focused Professionals

We're developing a cutting-edge Generative AI tool designed to streamline analysis and research by automating portions of data analysis, identifying opportunities, and facilitating interactive data search. Our platform aims to enhance private equity decision-making through advanced AI techniques, transforming complex use case scenarios into streamlined, insightful processes.

We provide private equity buyers with a broad continuum of knowledge and tools for due diligence (IT and operational), merger integration / carveout planning and execution, transition service agreement negotiation & governance, ERP implementations, IT operations & cost reduction, and enterprise architecture. We support full spectrum of the deal lifecycle from pre-deal technology, operational and synergy reviews, through 'Day1' planning, to post deal implementations.

By joining our Generative AI team, you will have the opportunity to be at the forefront of Generative AI technology and its application in the private equity industry, working closely with leaders in the field to shape the future of consulting.

Manager:

The AI Engineer will be a pivotal member of the Generative AI lab, a specialized cohort of engineers devoted to innovating core AI functionalities that propel value across the consulting lifecycle for our consultants. The key focus areas encompass information extraction, synthesis, and analytical processing of both structured and unstructured data to unearth quantitative insights. The AI Engineer will be instrumental in architecting, owning, and evolving AI functionalities throughout their lifecycle, transitioning from proof of concept to a production-grade pipeline. This role involves researching novel capabilities, conducting empirical experiments to quantitatively ascertain the functionality’s performance and suitability, and developing proofs of concept. The ensuing phase involves refining the pipeline to a production-grade module, ready for integration by the product team into a user-centric experience.

Key Responsibilities:

• Owning and steering individual pipelines for AI functionalities from conceptualization to production.
• Investigating emerging capabilities, conducting rigorous experiments to quantitatively evaluate functionality's performance and relevance, and developing proofs of concept.
• Transitioning pipelines to production-quality modules for seamless integration into user experiences by the product team.
• Collaborating closely with other engineers in the Generative AI lab to drive innovative solutions and share knowledge and insights.
• Ensuring the continual enhancement of AI functionalities by leveraging feedback and performance metrics to refine pipelines and modules.
• Communicating effectively with stakeholders to report progress, challenges, and outcomes of AI initiatives.

Qualifications:

• 5+ years of professional experience in data science, specifically in crafting and deploying AI/ML applications.
• Proficiency in Python is mandatory, with substantial knowledge of ML libraries such as Scikit-Learn; SQL expertise is desirable, as is familiarity with cloud platforms like Azure or comparable platforms, and vector databases like Pinecone.
• A robust understanding of the lifecycle of statistical and machine learning models encompassing data preparation, technique selection, model selection, hyperparameter tuning, and performance evaluation/improvement.
• A seasoned background in handling unstructured natural language data, text extraction, and engineering.
• Preferred experience in Natural Language Processing (NLP) including n-grams, bag of words representation, TF-IDF, semantic parsing, and sentiment analysis.
• A penchant for Generative AI and large language models including text completion models, semantic embeddings, and familiarity with frameworks such as Langchain is desirable.
• Sharp analytical and problem-solving abilities with a self-driven nature, capable of functioning autonomously under the guidance of the head of AI labs.
• An advanced degree in a quantitative discipline like Statistics, Computer Science, Physics, or Mathematics is preferred.

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