REQUIRED SKILLS

• SQL, NoSQL databases;
• ETL tools and data warehousing solutions;
• Big Data frameworks (e.g., Apache Spark) is a plus;
• Python (with libraries such as pandas, NumPy, scikit-learn);
• Familiarity with R or other data analysis languages is a bonus;
• Experience with generative AI frameworks (e.g., OpenAI GPT models, HuggingFace Transformers);
• Proficiency with machine learning libraries (TensorFlow, PyTorch);
• Strong background in Natural Language Processing (NLP);
• Expertise with visualization tools such as Tableau, Power BI, or visualization libraries (Matplotlib, Seaborn, Plotly);
• Experience with cloud platforms (AWS, Azure, GCP) for scalable AI solution deployments;
• Knowledge of containerization and orchestration (Docker, Kubernetes);
• Strong problem-solving and analytical skills;
• Excellent communication and teamwork abilities;
• Ability to translate complex business requirements into robust technical solutions.

• Architect and implement a scalable data analysis platform that integrates multiple data source;
• Develop efficient data pipelines and ETL processes to manage and transform corporate data;
• Integrate generative AI models (e.g., OpenAI GPT, HuggingFace Transformers) to automate analysis, generate predictive insights, and produce narrative reports;
• Develop and deploy predictive models for forecasting trends and business outcomes;
• Create interactive visualizations and dashboards to present complex data in an accessible format;
• Collaborate with cross-functional teams to refine requirements and translate business needs into technical solutions;
• Ensure robust data governance, security, and performance across all system components;
• Document technical processes and provide training/support for platform users.