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Data Application Developer


Job Title:

Data Analyst - AI Application Developer

Job Description

We are seeking a skilled Data Analyst to join our team and develop cutting-edge AI applications that directly impact customer experience, internal tools, automation, and intelligent decision-making.

The ideal candidate will have hands-on experience in Generative AI, LLM-based solutions, and NLP models. They will work closely with business stakeholders, present insights to management, and contribute to a collaborative, innovative AI environment where continuous learning is encouraged.

Required Skills

  • Generative AI
  • LLM applications (GPT, Llama, Claude, etc.)
  • NLP
  • LangChain
  • RAG architectures
  • Agentic workflows
  • Prompt engineering

Technical Skills

  • Strong Python
  • Deep learning / pre-trained models
  • Experience deploying models to production
  • Git-based workflow
  • Experience with ML/AI tools (Domino, LangGraph, ADK, MCP, etc.)

Language Requirements

Fluency in English is required.

Education

A Master's degree in Statistics, Mathematics, Computer Science/Engineering, or similar quantitative discipline is preferred.

Soft Skills

  • Business-minded problem solver
  • Strong communicator
  • Proactive & independent
  • Curious, analytical, and fast learner
  • Team player in multicultural environment

Benefits

This role offers an excellent opportunity to work on cutting-edge AI projects, collaborate with top data experts, and contribute to a collaborative, innovative AI environment.

About the Role

You will be responsible for developing and enhancing Generative AI applications, implementing LLM-based solutions, and deploying AI models into production using Python and modern ML platforms.

Key Responsibilities

  • Build and enhance Generative AI applications (virtual assistants, automation tools, decision support systems, etc.)
  • Implement LLM-based solutions (RAG pipelines, LangChain/agentic workflows, fine-tuning)
  • Develop NLP models for classification, summarization, sentiment, entity extraction, and more
  • Deploy AI models into production using Python and modern ML platforms
  • Work closely with business stakeholders and present insights to management
  • Contribute to a collaborative, innovative AI environment where continuous learning is encouraged
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