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Assistant AI/ML Engineer Job Opening In Panaji – Now Hiring Neo Wealth and Asset Management


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


  • Job Details

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Are You Looking for Assistant AI/ML Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Neo Wealth and Asset Management adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Assistant AI/ML Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Panaji. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Assistant AI/ML Engineer?

Key qualifications for Assistant AI/ML Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Assistant AI/ML Engineer Job Success

Neo Wealth and Asset Management interview tips for Assistant AI/ML Engineer

Here are some tips to help you prepare for and ace your Assistant AI/ML Engineer job interview:

Before the Interview:

Research: Learn about the Neo Wealth and Asset Management's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Assistant AI/ML Engineer interview at Neo Wealth and Asset Management, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Neo Wealth and Asset Management's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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