MLOps Engineer

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.

Job Description: Senior Machine Learning Engineer

Location: [Goa/ Mumbai]

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.
• ML/Deep Learning/NLP Certification preferred.

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.