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Urgent! Junior Machine Learning Developer Job Opening In Panaji – Now Hiring Neo Wealth and Asset Management

Junior Machine Learning Developer



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.


Required Skill Profession

Computer Occupations



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