Junior Data Engineer

Description

Job Summary: We are seeking a professional to support the construction and maintenance of data pipelines, prepare datasets for GenAI, execute prompt testing, and contribute to technical documentation and organization. Key Highlights: 1. Support in building and evolving data pipelines and data flows 2. Preparation of datasets and testing for GenAI models 3. Focus on automation, MLOps, and best practices in data engineering Description: * Prior experience (even introductory) with LangChain, LlamaIndex, or similar frameworks. * Experience in academic, personal, or professional projects related to GenAI. * Basic knowledge of data visualization (Power BI, Tableau, Looker, etc.). * Interest in automation, MLOps, and best practices in data engineering. Academic Qualifications: * Currently pursuing or completed undergraduate degree in Computer Science, Engineering, Information Systems, Systems Analysis and Development, or related fields. Responsibilities and Duties: * Support the construction, maintenance, and evolution of data pipelines and data flows. * Prepare datasets and inputs for model testing and GenAI experiments. * Execute prompt testing, interaction flow testing, and technical evaluations in PoCs. * Create reports for tracking performance and deliverables. * Contribute to technical documentation, versioning, and organization of deliverables. Requirements and Qualifications: * Entry-level experience with Python and data manipulation. * Familiarity with generative AI concepts and data pipelines. * Basic understanding of database integration (SQL and/or NoSQL). * Foundational knowledge of cloud environments (AWS preferred). * Strong communication and organizational skills to support rapid, well-documented deliveries. * Proficiency in productivity and collaboration tools. 2512100202181912064