Description
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity - are why our people love working at A&M.
The Team
Our DTS team covers the full breadth of Technology Consulting and M&A services, including -
- Technology M&A and Strategy - Assist clients to manage the technology aspects and business enablement of complex M&A, integrations and carve-outs as well as post-deal value creation
- Technology Consulting – End to end technology advisory for clients, including developing technology roadmaps, platform/cloud/data advisory as well as transformation excellence for a digital transformation
- Data & AI services - Helping clients in harnessing the power of data and cutting-edge analytics to drive intelligent decision-making and transform businesses.
- Develop GenAI and Agentic AI solutions that create real business value for clients through process re-invention
How you will contribute
- Develop and implement AI models and pipelines, leveraging LLMs to address business needs.
▪ Design and deploy machine learning solutions on Azure, ensuring performance, scalability, and reliability.
▪ Use Python for data preprocessing, model development, and experimentation.
▪ Build and integrate REST APIs using Flask to enable seamless model access for other applications.
▪ Containerize models and applications with Docker to streamline deployment and improve portability.
▪ Collaborate with cross-functional teams to understand project goals and create custom AI solutions.
▪ Stay updated on the latest advancements in Generative AI, LLMs, and cloud technologies.
▪ Optimize models for accuracy, performance, and inference speed based on real-time data.
Qualifications
- 5+ years of experience in data science, working with LLMs and Generative AI models– across CPG, Retail, Supply Chain etc. – e.g. customer churn/retention, route optimization, inventory planning, market mix modelling, etc.
- Hands-on experience deploying AI/ML models on Azure and using cloud-based tools.
- Proficiency in Python, with experience in data manipulation, model building, and evaluation.
- Experience with Dockerization for deploying and managing AI applications.
- Knowledge of Flask to build lightweight APIs for model integration.
- Strong problem-solving skills, with the ability to translate business challenges into AI solutions.
- Good communication skills to work with stakeholders and present technical results effectively.
Your journey at A&M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career. We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.
