11 Sep
|
Avishkar Ai
|
Mangalore
11 Sep
Avishkar Ai
Mangalore
Company: Avishkar AI (Anjaneyaai Technologies Private Limited)
Location: Remote/Mangaluru (Hybrid/In-Office)
Type: Full time Level: Senior individual contributor Reports to: Co-founder / Head of Engineering
About the role
We are looking for a machine learning engineer who has built and shipped models against live financial markets, not just backtested them in a notebook. You will own the full research to production path: sourcing and cleaning market data, engineering features that survive out of sample, training and validating predictive models, and deploying them into systems where latency, slippage and capital are real constraints.
This is a hands on role. You will write the research code, the pipelines and the production services. If you enjoy the specific discomfort of a strategy that looks brilliant on paper and mediocre in the market, and you want to understand exactly why, this role is for you.
What you will do
Research and modelling
Build predictive models on financial time series across equities, derivatives, FX or crypto: return forecasting,
volatility forecasting, regime classification, order flow prediction.
Engineer features from raw market data including OHLCV bars, tick and quote data, limit order book snapshots, options surfaces, and where relevant alternative data such as news, filings and sentiment.
Design and defend validation schemes appropriate to time series: walk forward analysis, purged and embargoed cross validation, combinatorial purged CV. You will be expected to explain why a standard k fold split is wrong here.
Quantify and control for look ahead bias, survivorship bias, data snooping and multiple testing. Report deflated Sharpe ratios and probability of backtest overfitting where appropriate.
Model transaction costs, market impact, borrow costs and slippage explicitly. A gross alpha that does not survive net of costs is not a result.
Engineering and production
Build and maintain data pipelines that ingest, normalise and version m
📌 Machine Learning Engineer, Quantitative Modelling (Mangalore)
🏢 Avishkar Ai
📍 Mangalore