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Senior Engineer - Large Language Model Engineer

Senior Engineer - Large Language Model Engineer

1 - 5 years

3 - 7 Lacs

pune bengaluru

Posted:2 months ago| Platform:

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Skills Required

data science gcp analytical machine learning scala management consulting financial planning data structures operations python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Our most valuable asset is our people

ZS

we honor the visible and invisible elements of our identities, personal experiences and belief systems the ones that comprise us as individuals, shape who we are and

make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the

ZS s India Capability & Expertise Center (CEC)

houses more than 60% of ZS people across three offices in New Delhi, Pune and Bengaluru. Our teams work with colleagues across North America, Europe and East Asia to create and deliver real world solutions to the clients who drive our business. The CEC maintains standards of analytical, operational and technological excellence across our capability groups. Together, our collective knowledge enables each ZS team to deliver superior results to our clients.

ZSs Scaled AI

practice is part of ZSs 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 You ll 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 You ll 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.

Perks & Benefits:

Travel:

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Senior Engineer - Large Language Model Engineer