AI/ML Engineer (Hospitality Industry)

Company Background

Our client is a global leader in strategic enterprise solutions for the restaurant, cruise, foodservice, and hospitality industries. The company enables organizations to centrally set up, standardize, and control all restaurant data at the corporate level, ensuring consistency, compliance, and efficiency across all locations. Founded in 1995, the company’s mission is to provide exceptional tools and solutions that help customers reduce food and beverage costs, drive labor efficiencies, and improve the quality and consistency of their operations.

Project Description

The project aims to reduce the time required for inventory counts and minimize error rates by leveraging AI-powered speech recognition and natural language processing. The solution captures inventory data via a mobile app, transcribes it into text, extracts key entities, and matches them against existing product data. The ultimate goal is to provide accurate, structured inventory data seamlessly integrated into the client’s existing systems.

Technologies

• Python
• Git
• CI/CD
• AWS (S3, EC2, ECS, Margate, Lambda)
• Azure (Blob Storage, Azure ML, Azure OpenAI)
• LLMs & NLP (RAG, Custom LLM chains, summarization, entity extraction, reasoning)
• GenAI
• LangChain
• LangGraph
• LlamaIndex
• Qdrant
• PostgreSQL (pgvector)
• Pinecone
• Weaviate
• FAISS
• STT (Deepgram, Azure Speech, AWS Transcribe)

What You'll Do

• Contribute to the design, development, and deployment of GenAI services for inventory automation
• Implement GenAI/ML solutions focused on model accuracy, scalability, and security
• Design and optimize system prompts and instructions for LLM-based workflows
• Integrate and optimize Speech-to-Text (STT) and Text-to-Speech (TTS) components
• Optimize GenAI workflows for performance and cost efficiency on cloud platforms
• Collaborate with developers, analysts, and stakeholders to define and implement requirements
• Document and maintain GenAI solutions and technical standards
• Deploy GenAI solutions into AWS and/or Azure environments
• Monitor, maintain, and troubleshoot production GenAI pipelines
• Stay current with emerging trends and advancements in GenAI and LLM technologies

Job Requirements

• 3+ years of experience in ML engineering, including at least 1 year of hands-on work with LLMs and GenAI
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• Strong proficiency in Python
• Experience with cloud platforms (AWS and/or Azure)
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML workflows
• Excellent problem-solving, communication, and collaboration skills
• Knowledge of data governance, security, and compliance in cloud environments is a plus
• English level: Intermediate (B1+) or higher

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.