Ai Ml Engineer

Upswing Cognitive Hospitality Solutions

2 - 5 years

7 - 9 Lacs

pune

Posted:6 hours ago| Platform:

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Skills Required

aiml machine learning prompt engineering large language model gcp artificial intelligence openai google vertex ai retrieval augmented generation

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities

Design and implement AI-powered features using Vertex AI, including model deployment, prompt management, and context orchestration.
Integrate LLM APIs (Gemini, ChatGPT, Vertex AI, Claude, etc.) into existing product workflows.
Develop and maintain data and retrieval pipelines for contextual AI interactions (e.g., using Vertex Matching Engine or vector databases).
Build prompt and response optimization frameworks to improve accuracy and relevance of model outputs. Work with product and engineering teams to define and deliver AI-driven user experiences.
Monitor model performance, optimize inference costs, and ensure scalable deployment on Google Cloud Platform (GCP).
Stay updated with the latest advancements in Vertex AI, MCP, and LLM ecosystems to continually enhance solution capabilities

Preferred candidate profile

Proven experience with Google Vertex AI (Model Garden, Pipelines, Workbench, Generative AI Studio).
Strong understanding of LLM integration and orchestration using platforms like ChatGPT, Gemini, or Vertex AI. Proficiency in Python and familiarity with frameworks such as LangChain or LlamaIndex.
Hands-on experience with vector databases (Vertex Matching Engine, Pinecone, FAISS, Weaviate, etc.).
Good knowledge of cloud infrastructure and MLOps practices on GCP (BigQuery, Cloud Run, Cloud Storage, IAM).
Understanding of Retrieval-Augmented Generation (RAG), prompt engineering, and context management.
Experience working in an AI product development or platform engineering environment.

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