We are looking for an Data & AI Executive (who need to be collaborative, organized, think out-of-the-box, and be ready to pursue new opportunities.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field. • Proficiency in one or more backend languages/frameworks: ◦ Python (FastAPI, Flask, Django) ◦ Java (Spring Boot) ◦ Node.js (Express, NestJS) ◦ Go (Gin, Fiber) • Experience building RESTful or GraphQL APIs and designing microservices. • Solid grasp of machine‑learning fundamentals: supervised/unsupervised learning, evaluation metrics, feature engineering. • Familiarity with modern NLP libraries (spaCy, Haystack, Hugging Face Transformers, LlamaIndex). • Strong version‑control habits (Git, trunk‑based development) and CI/CD pipelines. • Excellent problem‑solving, communication, and collaboration skills. • Passion for continuous learning and adapting to emerging AI technologies. Preferred Qualifications • Hands‑on experience creating and deploying production‑grade AI chat agents or virtual assistants. • Working knowledge of LangGraph, AutoGen, CrewAI, ADK, or comparable agent‑orchestration / workflow frameworks. • Experience with Large Language Models (Gemini, GPT‑4, Claude, Mistral, etc.) and vector databases (Weaviate, Chroma, Pinecone). • Deep experience with Google Cloud Platform (GCP): ◦ BigQuery for analytical workloads and feature stores. ◦ Cloud Run (serverless) for scalable, cost‑efficient microservices. ◦ Google Kubernetes Engine (GKE) for container orchestration and workload portability. ◦ Identity and Access Management (IAM) for secure, least‑privilege access control. • Business‑intelligence expertise in building dashboards and reports withPower BI or Tableau. • Familiarity with other cloud providers (AWS, Azure) and their AI/ML services. • Understanding of MLOps (model registry, continuous training, drift monitoring) and LLM observability toolssuch as Arize Phoenix, Langfuse, and LangSmith. • Database skills in both SQL (PostgreSQL, BigQuery) and NoSQL (Firestore, DynamoDB). • Contributions to open‑source AI/ML projects or technical blogging/presentations.

• Working time: 8.30 am – 5.30 pm from Monday to Friday. OPPORTUNITIES AND CHALLENGES: • Opportunity to work in a professional, modern and energizing setting. • Challenging projects, possibilities, cutting-edge technology, and problems. • An open and dynamic working atmosphere that promotes the interchange of ideas, while also empowering you to work and create in your own style. Each employee's talent and accomplishments are valued, and outstanding employees are recognized and rewarded on a yearly basis. • Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million - 5 million). • Some advanced certifications will cover the full cost of studying and taking the exam. ATTRACTIVE REWARDING POLICY AND WORK-LIFE BALANCE: • Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year • Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations. • Holiday travel mode (package 5-7 million/person), team building,... • Full participation in social insurance, as well as a yearly health checkup at a reputable hospital. • Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc. • The football club, cycling car, badminton, ... are just a few of the sports and cultural activities available. • Allowance for classes and training awards: Learning Star of the Month, • A chance to be the face of the year's study, the royalties...