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!
Net per month - B2B
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