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Junior AI Engineer

Junior AI Engineer

Neo Wealth and Asset ManagementDelhi, India
7 days ago
Job description

Building the Future of Wealth & Asset Management

At Neo, we’re not building another financial platform. We’re building the future of wealth and investing in India AI-native, proactive, and designed for speed and trust. Whether it’s trading, wealth reporting, onboarding, or advisory, our systems act like a thinking partner that anticipates needs, surfaces insights, and executes seamlessly.

This isn’t a feature roadmap. It’s a movement :

  • From dashboards → to proactive workflows.
  • From static reports → to living, adaptive memory.
  • From manual research → to AI-driven intelligence engines.
  • From fragmented journeys → to seamless, compliant experiences.

We’re building the category-defining AI-first wealth & asset management platform for India. Everything you touch here content, logic, design, product, infrastructure is part of a system that reimagines how finance should work if we broke free from legacy thinking.

What you’ll get here :

  • Ownership at scale. You won’t just ship features; you’ll design the very systems that shape how investors, advisors, and traders make decisions.
  • AI as the default, not an add-on. Every role here uses LLMs, data, and automation as native tools.
  • Impact you can measure daily. The platforms you build will be trusted by thousands of clients and bankers who depend on them.
  • The right balance of speed + compliance. We don’t cut corners. We move fast while staying aligned with SEBI and global standards.
  • A team of builders. Engineers, quants, designers, and PMs who think like entrepreneurs each role is a first-of-its-kind.
  • If you’ve ever wanted to be on the founding floor of a new financial era, this is it. At Neo, you’re not just taking a job you’re helping build the brain, memory, and reflexes of India’s AI-native wealth & asset management system.

    Position : Junior AI Engineer

    Location : Mumbai / Goa

    Experience Required : 6 months – 2 years

    Employment Type : Full-time

    Education Qualifications :

  • Bachelor’s or master’s degree in engineering, Information Technology, Computer Science, Technology, Mathematics, or Statistics (BE / ME / M.Tech / B.Tech / MSc IT / Equivalent).
  • Core Skills & Experience (Must-Have) :

  • Programming : Strong proficiency in Python with good knowledge of Data Structures & Algorithms (DSA).
  • Machine Learning : 1+ years of experience in implementing ML models and algorithms.
  • Statistics : Solid understanding of statistical concepts applied to data modeling.
  • Databases : Hands-on experience with MongoDB and MySQL.
  • Version Control : Practical experience with Git / Bitbucket.
  • Project Management Tools : Exposure to JIRA or Asana.
  • Good to Have (Preferred Skills) :

  • Natural Language Processing (NLP) :
  • Hands-on experience with Zero-shot / Few-shot classification algorithms.
  • Familiarity with TF-IDF, Word2Vec, BERT for NLP-based tasks.
  • Generative AI :
  • Practical experience with OpenAI models (GPT series, etc.) and LLaMA for Generative AI applications.
  • Web Development & APIs :
  • Exposure to Flask and ability to build and deploy REST APIs.
  • Key Responsibilities :

  • Design, implement, and optimize Machine Learning / AI models for business use cases.
  • Develop and fine-tune NLP-based solutions including text classification, embeddings, and semantic searches.
  • Work with Generative AI frameworks to build prototypes and deploy AI-driven solutions.
  • Collaborate with cross-functional teams to integrate AI / ML solutions into applications using Flask & REST APIs.
  • Manage workflows using Git / Bitbucket and task tracking tools like JIRA / Asana.
  • Work with relational & NoSQL databases (MySQL & MongoDB) for data preparation and model training.
  • Continuously research and explore new techniques in ML, NLP, and Generative AI to improve solutions and models.
  • What We’re Looking For :

  • A driven and curious mindset with the ability to quickly adapt to new technologies.
  • Passion for AI research and its real-world applications.
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in cross-functional teams.
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