Data and AI Engineer Intern

Neoteric Analytics is seeking a sharp, motivated Data \& AI Engineer Intern to join our team in New Delhi for a 6-month full-time internship. You'll work on real-world AI-driven data solutions for clients across banking, finance, and enterprise sectors. About Us: We craft lean, scalable AI-driven platforms and automation solutions that turn complex data challenges into measurable business outcomes. Our AI-driven workflows deliver results 3x faster than traditional consulting, with deep expertise in data engineering, AI, and analytics. What You'll Do: * Design and build ETL (Extract, Transform, Load) workflows and data pipelines * Write, optimize, and analyze complex SQL queries and stored procedures * Develop and deploy FastAPI applications for scalable data solutions * Leverage AI and automation tools to build intelligent solutions * Work with cloud platforms (primarily Azure) for modern data architecture * Collaborate with our team on production systems serving enterprise clients * Participate in code reviews and contribute to technical documentation Key Requirements: * Strong proficiency in Python programming with clean, efficient code * Solid understanding of SQL, database design, and query optimization * Genuine interest in AI/ML technologies and eagerness to apply them in real-world scenarios * Strong analytical thinking and ability to break down complex problems into manageable solutions * Excellent verbal and written communication to collaborate effectively with technical and non-technical stakeholders * Ability to work full-time in-office in New Delhi Nice to Have: * Experience with FastAPI, Flask, or similar Python web frameworks * Exposure to cloud platforms (Azure, AWS, or GCP) * Familiarity with machine learning libraries (scikit-learn, TensorFlow, PyTorch) * Understanding of data structures and algorithms * Git version control experience * Personal projects or academic work showcasing Python/SQL skills What You'll Gain: * Hands-on experience building production-grade data systems * Exposure to modern cloud-native data platforms and AI workflows * Mentorship from experienced data engineers and architects * Real-world experience with enterprise clients * Work on projects involving cloud platforms, automated engines, and intelligent reporting systems Duration: 6 months Stipend: Competitive (based on experience and skills)