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Junior AI Engineer

Junior AI Engineer

Neo Wealth and Asset ManagementPanaji Muwara, Gujarat, India
10 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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