Senior Machine Learning Engineer

Neo Wealth and Asset Management; Panaji; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

A financial technology company is looking for a Senior Machine Learning Engineer in Panaji, Goa. The ideal candidate will have extensive experience in Machine Learning and NLP, focusing on building and deploying AI-driven solutions. This role involves designing complex ML applications and collaborating with diverse teams. The company offers a dynamic work environment and a chance to impact the future of wealth management in India.

Qualifications

• 4+ years experience in Machine Learning.
• 5+ years proficiency in NLP techniques.
• Hands-on experience with AI frameworks.

Responsibilities

• Design and deploy ML models for production.
• Implement NLP solutions using various algorithms.
• Collaborate with teams to translate business needs.

Skills

Machine Learning & Statistics

Natural Language Processing

Programming: Python

Generative AI

Database Management: MongoDB

Version Control: Git

Microservices: Flask

MLOps

Education

Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or Statistics

Tools

AWS

Docker

Jenkins

JIRA

Asana

Job description

Talent Acquisition | Stock Market Trader | Casual Gamer

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.

• 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.

Job Description

Senior Machine Learning Engineer

Experience Required: 4+ Years

About the Role:

We are looking for an experienced Senior Machine Learning Engineer with a strong background in Machine Learning, NLP, and Generative AI to join our team. The ideal candidate will have hands‑on expertise in building, deploying, and managing ML solutions, along with a deep understanding of modern AI frameworks and cloud‑based MLOps practices.

Key Responsibilities

• Design, develop, and deploy machine learning models and pipelines for production‑scale applications.
• Implement NLP solutions using algorithms such as TF‑IDF, Word2Vec, BERT, Zero‑Shot and Few‑Shot learning techniques.
• Apply Generative AI models (OpenAI, LLaMA, Gemini, perplexity etc.) to solve real‑world business problems.
• Collaborate with cross‑functional teams to translate business requirements into technical solutions.
• Work with statistical and mathematical models to analyze complex datasets.
• Develop and maintain RESTful APIs and microservices using Flask/FastAPI.
• Manage ML lifecycle, including versioning, CI/CD, and deployment using AWS, Docker, Jenkins, and other MLOps tools.
• Maintain source code repositories (Git, Bitbucket) and ensure best practices for version control.
• Work with databases (MongoDB, MySQL) to handle structured and unstructured data.
• Participate in project management using tools like JIRA/Asana.
• Stay up‑to‑date with advancements in AI/ML and contribute to innovation within the team.

Required Skills & Experience

Education

• Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or Statistics.

Technical Expertise (Must‑Have)

• Programming: Python (DSA) – 5+ years
• Machine Learning & Statistics: 5+ years, strong knowledge of algorithms (Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, Bayesian methods, Mean‑based approaches)
• NLP: 5+ years (Zero‑shot, Few‑shot classification, TF‑IDF, Word2Vec, BERT)
• Generative AI: 3+ years (OpenAI models, LLaMA, etc.)
• Databases: MongoDB & MySQL – 5+ years
• Version Control: Git, Bitbucket – 5+ years
• Microservices: Flask, FastAPI – 5+ years
• MLOps: AWS, Jenkins, Docker/CircleCI – 3+ years
• Project Management Tools: JIRA, Asana – 5+ years
• REST APIs: 2+ years

Preferred Qualities

• Strong problem‑solving and analytical skills.
• Ability to work independently as well as in a collaborative team environment.
• Excellent communication skills to convey complex technical concepts to non‑technical stakeholders.
• Passion for staying ahead in the AI/ML space.

Referrals increase your chances of interviewing at Neo Wealth and Asset Management by 2x.

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