Senior Machine Learning Engineer - AI

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 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.

You won't just ship features; AI as the default, not an add-on. Every role here uses LLMs, data, and automation as native tools.

• 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.

Senior Machine Learning Engineer

Experience Required: 4+ Years

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.

Design, develop, and deploy machine learning models and pipelines for production-scale applications.

Apply Generative AI models (OpenAI, LLaMA,Gemini,perplexity etc.) 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.

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

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

ML/Deep Learning/NLP Certification preferred.

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)

Generative AI: 3+ years (OpenAI models, LLaMA, etc.)

Databases: MongoDB & MySQL – 5+ years

Flask, FastAPI – 5+ years

MLOps: AWS, Jenkins, Docker/CircleCI – 3+ years

Project Management Tools: JIRA, Asana – 5+ years

Preferred Qualities

Excellent communication skills to convey complex technical concepts to non-technical stakeholders.

Passion for staying ahead in the AI/ML space.