Senior Machine Learning Engineer

Building the Future of Wealth & Asset ManagementAt 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 EngineerLocation: [Goa/ Mumbai]Experience Required: 4+ YearsAbout 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+ yearsMachine 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+ yearsVersion Control: Git, Bitbucket – 5+ yearsMicroservices: Flask, FastAPI – 5+ yearsMLOps: AWS, Jenkins, Docker/CircleCI – 3+ yearsProject Management Tools: JIRA, Asana – 5+ yearsREST APIs: 2+ yearsPreferred 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.