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Urgent! Data and AI Engineer Job Opening In New Delhi – Now Hiring Neoteric Analytics

Data and AI Engineer



Job description

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)


Required Skill Profession

Prb



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