Business Technology Solutions Associate

About the Role

ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem. In the Associate role, you will focus on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities. You will collaborate with data scientists to create state-of-the-art AI models, create and use cutting-edge ML platforms, create and deploy advanced ML pipelines, and manage the complete ML lifecycle.

Key Responsibilities

• Experience in creating GenAI applications such as answering engines, extraction components, and content authoring.
• Strong knowledge in developing RAG-based pipelines using frameworks like LangChain or LlamaIndex.
• Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization.
• Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques.
• Skilled in creating prompts that efficiently guide LLMs to generate outputs meeting business requirements.
• Solid working knowledge of the engineering components essential in a GenAI application, including Vector DB, caching layer, chunking, and embedding.
• Experience in scaling GenAI or similar applications to accommodate a high number of users, large data size, and reduce response time.

Requirements & Tech Stack

• Must Have Skills:
• Python
• AWS/Azure
• Data Science
• Gen AI tools (e.g., Azure OpenAI, Langchain, Vector DB)
• Software Engineering
• Good to Have:
• DevOps
• CI/CD
• Kubernetes
• Product development Experience

Qualifications

• Technical Proficiency: Demonstrated expertise in Python, AWS/Azure, Data Science, and GenAI tools (including Azure OpenAI, LangChain, and Vector DB), along with a strong foundation in software engineering principles.
• Advanced Skills in DevOps and CI/CD: Good to have experience in DevOps, Continuous Integration/Continuous Deployment (CI/CD), and Kubernetes is highly beneficial for enhancing product development and deployment processes.
• Product Development Experience: A background in product development is advantageous, enabling you to contribute to the creation of scalable, user-centric AI solutions.
• Ability to quickly adapt to new technology and be innovative in creating solutions.
• Strong in at least one of the Programming languages: PySpark, Python, Java, Scala, etc., and Programming basics - Data Structures.
• Experience in designing and implementation of solutions on distributed computing and cloud services platforms (AWS, Azure, GCP).
• Fluency in English.
• Client-first mentality.
• Intense work ethic.
• Collaborative spirit and problem-solving approach.
• Additional Skills:
• Understanding of DevOps, CI / CD, data security.
• Experience in designing on cloud platforms.
• AWS Solutions Architect certification with understanding of broader AWS stack.
• Knowledge of data modeling and data warehouse concepts.
• Willingness to travel to other global offices as needed to work with client or other internal project teams.

Work Environment

• Hybrid working model: Combination of work from home and on-site presence at clients/ZS offices.
• Travel: Required for client-facing ZSers, as business needs dictate.