Senior Engineer

2 weeks ago

Bengaluru, Karnataka, India ZS Full time ₹ 12,00,000 - ₹ 36,00,000 per year

ZS's Scaled AI practice is part of ZS's rich and advanced AI ecosystem, in the Associate Consultant role, focused on creating continuous business value for clients using a range of innovative machine learning, deep learning, and engineering capabilities.Being part of Scaled AI practice allows you to 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.

What Youll Do

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

What Youll Bring

  • 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 or Java, Scala, etc. and Programming basics - Data Structures
  • Experience in designing and implementation of solution on distributed computing and cloud services platform AWS, Azure, GCP.

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