Job description

Required:

• OpenAI APIs / Azure OpenAI / Hugging Face

• GitHub Copilot / Prompt Engineering

• Python / JavaScript / TypeScript

• REST APIs

• LLMs (Large Language Models)

• Git

• Microsoft Teams / SharePoint / Jira / Swagger

• Hands-on experience with Machine Learning models and tools

• Excellent command of English, including experience in business meetings and cross-functional collaboration

Nice to have:

• LangChain, vector databases (e.g. Pinecone)

• RAG pipelines

• Azure / AWS / Docker

• DevOps / QA / CI/CD understanding

• Experience with ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn)

• Experience in software architecture

• Experience in the travel or operations sector

Your responsibilities:

• Strategy & Architecture – designing and owning the AI/GenAI roadmap across software engineering, QA, and operations

• Tool Development – building and scaling AI-powered assistants and automation tools

• Cross-Team Collaboration – working closely with product, data, platform, and infrastructure teams, often across different regions

• AI Integration – integrating GenAI tools with business platforms (e.g. Teams, SharePoint, Jira)

• Governance & Compliance – ensuring AI and ML solutions follow enterprise-level data privacy and security standards

• Research & Innovation – identifying new GenAI and ML technologies and frameworks to pilot

• Support & Documentation – writing clean code, clear documentation, and sharing knowledge within the team

• Business Communication – participating in meetings with technical and non-technical stakeholders, clearly presenting ideas and technical concepts

Our requirements:

Technical degree (e.g. Computer Science, Engineering) or equivalent experience

• Practical experience with GenAI/LLM tools (e.g. OpenAI API, Azure AI, Copilot)

• Hands-on experience in machine learning model development and deployment

• Strong understanding of the software development lifecycle, ideally in QA or DevOps environments

• Experience in building or integrating AI/ML-powered tools or assistants

• Excellent communication skills and fluent English (you’ll regularly participate in business and technical meetings with global stakeholders)

• Ability to translate business needs into technical solutions and explain them clearly

Nice to have:

• Experience with LangChain, RAG pipelines, vector databases

• Familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn)

• Experience with CI/CD and cloud platforms (Azure, AWS)

• Interest in GenAI/ML use cases in travel, customer experience, or operational automation

Growth & Benefits:

• Budget for AI/ML certifications and development

• Participation in international tech events and conferences

• Flexible working hours & remote/hybrid working model

• Internal knowledge-sharing sessions

• English lessons and mentoring support

• Opportunity to shape innovation and AI strategy for a global client

Would you like to lead the GenAI & ML journey in a global, tech-forward environment and create real impact?

Apply now and build the future with us!