Responsibilities: Design, develop, and deploy scalable machine learning models for wealth management use cases such as portfolio optimisation, investment recommendations, client segmentation, risk profiling, and financial forecasting.

Build and maintain end-to-end ML pipelines, including data ingestion, feature engineering, model training, deployment, monitoring, and retraining.

Develop AI/LLM-based solutions for financial research, document intelligence, and advisor productivity.

Collaborate with product, engineering, and investment teams to translate business problems into data-driven solutions.

Ensure production-grade ML systems with a focus on scalability, explainability, performance, and reliability.

Evaluate emerging AI/ML techniques and drive innovation across financial products.

Requirements: Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Mathematics, Statistics, Electrical Engineering, or a related quantitative discipline.

Preferred candidates from premier institutes such as IITs, IISc, ISI, BITS Pilani, IIITs,



or globally recognised universities.

0-3 years of experience building and deploying production-grade machine learning solutions, preferably in wealth management, financial services, fintech, or other data-intensive domains.

Expertise Required: Robust foundation in machine learning, deep learning, probability, statistics, linear algebra, and optimisation.

Hands-on experience with Python, SQL, PyTorch/TensorFlow, Scikit-learn, and ML frameworks.

Experience with time-series forecasting, recommendation systems, NLP/LLMs, and MLOps.

Proficiency with cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes, Git, and CI/CD pipelines.

Familiarity with financial markets, portfolio analytics, risk modelling, or quantitative finance is highly desirable.

Excellent problem-solving skills with the ability to build scalable, production-ready AI systems and translate research into business impact.

📌 Machine Learning Engineer - Fresher (Mumbai)
🏢 Neo Wealth and Asset Management
📍 Mumbai