Data and AI Engineer

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:

Stipend: