AI/ML Engineer

Company Description

Upswing-Cognitive Hospitality Solutions is revolutionizing the global hospitality industry by integrating Big Data, AI, ML, IoT, and intelligent process automation. Our innovative solutions enable hotels to maximize their data potential, enhance operational efficiency, increase revenue, and deliver personalized guest experiences. By creating a unified technological ecosystem, we help hoteliers build comprehensive guest profiles, foster direct engagement with guests, and eliminate intermediaries. Our aim is to empower hotels to deliver standout experiences while optimizing resources and achieving unparalleled growth.

Role Description

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.

Required Skills & Experience 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.

Preferred Qualifications Exposure to multi-agent frameworks or context-protocol-based systems (MCP). Experience with Vertex AI Search, Gemini Pro API, or similar enterprise AI tools. Knowledge of AI governance, ethics, and safety best practices.

Master’s degree in Computer Science, Artificial Intelligence, or a related discipline.

Why Join Us Work with the latest AI technologies across Vertex AI, Gemini, and OpenAI ecosystems.

Be part of a visionary team building an innovative, AI-first product leveraging MCP architecture. Opportunity to design and deploy real-world, enterprise-grade AI systems that make a tangible impact

Qualifications

• Proficiency in Machine Learning techniques, including Pattern Recognition and Neural Networks
• Strong foundation in Computer Science fundamentals and Algorithms
• Solid understanding of Statistics and data analysis methods
• Experience in implementing and optimizing AI solutions
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• Strong problem-solving skills and ability to work on-site collaboratively
• Previous experience working with Big Data, IoT, or the hospitality industry is a plus