Senior Machine Learning 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.