Data Engineering | Senior Data Intelligence Analyst

Description

Job Summary: We are seeking a professional to develop and maintain data pipelines, deploy and optimize AI models, and collaborate on exploratory analysis and insight generation. Key Highlights: 1. Work on the development and maintenance of data pipelines for AI. 2. Deploy and optimize AI models in production, with a focus on scalability. 3. Collaborate with data analysts and data scientists to generate insights. Description: First and foremost, you must align with our purpose: valuing people so each can build their own story. Additionally, it is desirable that you have * A degree in Computer Science, Engineering, Statistics, or related fields. * Experience with Python and libraries such as Pandas, Scikit\-Learn, PyTorch, or TensorFlow. * Knowledge of databases (SQL, NoSQL) and visualization tools (Power BI, Excel). * Experience with cloud environments (AWS, Azure, or GCP) and orchestration tools (Docker, Kubernetes). * Knowledge of N8N \- AI-powered automation workflows * Knowledge of Langchain * Familiarity with DevOps, DataOps, or MLOps practices. * Experience with generative models or LLMs is preferred. * Strong communication and collaborative teamwork skills. Your challenges will include * Developing and maintaining data pipelines to feed AI models (data collection, cleaning, enrichment, and validation). * Supporting the deployment of AI models into production, focusing on scalability, performance, and cost-efficiency. * Monitoring and optimizing AI models in production, adjusting performance and robustness metrics. * Collaborating with data analysts and data scientists on exploratory analysis and insight generation. * Documenting and versioning deployed processes and models. * Participating in the evaluation of new AI tools and solutions. * Knowledge of AI agent architectures 2510150202241808951