5 years
0 Lacs
Posted:5 days ago|
Platform:
On-site
Full Time
· Optimize models for performance and deploy ability (quantization, pruning, efficient architecture design).
· Evaluate models rigorously (metrics, validation, hyperparameter tuning, experiment tracking).
· Deploy models and maintain workflows using MLOps best practices and cloud infrastructure (AWS preferred).
· Collaborate with cross-functional teams including quants, data scientists, and product managers to translate business needs into technical solutions.
· Optimize and scale models using cloud infrastructure (AWS, GCP, or Azure preferred).
· Maintain code quality, back testing, and documentation best practices.
· Bachelor's or Master's degree in Computer Science, AI/ML, Statistics, Mathematics, or a related field.
· Proven experience in pattern recognition, anomaly detection, or predictive modelling using financial datasets.
· Ability to understand and manipulate financial datasets (e.g. stock prices, order books, financial statements, or alternative data).
· Exposure to NLP in finance (e.g. news sentiment, earnings transcripts).
· Knowledge of basic financial concepts (e.g. P&L, returns, technical indicators, risk metrics).
· Work on challenging AI problems in the financial domain.
· Opportunity to contribute to cutting-edge systems with real-world impact.
· Collaborative team, continuous learning culture, and access to latest research tools.
Motilal Oswal Financial Services Ltd
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