Founding ML Engineer

Location: 5 Days in Office (Kormangala, Bangalore)

The Mission

The global commodities market operates in a storm of noise. Prices are driven not just by supply and demand, but by a complex interplay of geopolitical events, breaking news, and market microstructure. At Novaex.ai, we are building the definitive AI-powered operating system to decode this complexity. We don’t just want to display data; we want to predict its movement.

We are looking for an exceptional Machine Learning Engineer (Minimum 4-6 years experience) to join our core technical team. This is not a role for someone who wants to tweak hyperparameters on static datasets. This is a role for a builder who wants to deploy multi-modal models that ingest real-time chaos - price ticks, news sentiment, and volume flows, and output clear, actionable trading signals. You will help build the predictive brain of our platform.

Your Mandate

Reporting to the Founding Technical Lead, you will bridge the gap between quantitative research and production engineering. You will own the full lifecycle of our predictive models, from hypothesis to live signal generation.

Your core responsibilities will include:

Building the Predictive Core: Design and deploy state-of-the-art time-series models (LSTMs, GRUs, CNNs, Transformers) to forecast price, volume, and volatility. You will work directly with tick-level and intraday data to capture market dynamics. Decoding Market Sentiment: Construct robust NLP pipelines to extract signal from noise. You will build systems that perform sentiment classification, event detection, and entity extraction on diverse unstructured data sources - from corporate announcements to social media and analyst commentary. Multi-Modal Fusion: Solve the challenge of combining hard numbers with soft signals. You will develop multi-modal models that fuse sentiment scores with market microstructure (order books, quotes) and technical features (OHLCV) to generate superior trading signals. Rigorous Backtesting & Validation: You will ensure our models survive reality. You will lead the backtesting framework, using statistical evaluation to stress-test models across different market regimes to ensure robustness and minimize overfitting. End-to-End ML Operations: You will be responsible for the code that runs the models. You will manage data ingestion, feature engineering, training, and deployment. Furthermore, you will build the dashboards and alerting systems necessary to track model drift, latency, and performance in real-time.

What You Bring

We are seeking a high-potential engineer who combines strong theoretical knowledge with the ability to ship production-grade code. The ideal profile includes:

Deep Learning Proficiency: 4-6 years of hands-on experience with Python and frameworks like PyTorch or TensorFlow, specifically applied to time-series forecasting and sequence modeling. Quant & Data Fluency: You are comfortable working with financial datasets (OHLCV, tick data, order books). You understand concepts like market microstructure, volatility surfaces, and derived indicators. NLP Expertise: Experience with modern NLP techniques (Transformers, HuggingFace, BERT/RoBERTa) for sentiment analysis and text classification. Statistical Rigor: You don’t just look at accuracy; you understand precision, recall, Sharpe ratios, and the dangers of look-ahead bias. You know how to validate a model properly. Engineering Discipline: You can build the pipelines that feed the models. Experience with data processing tools (Pandas, NumPy) and an understanding of MLOps best practices (model versioning, monitoring) is essential. Curiosity: You are fascinated by the markets. You want to understand why a price moved, and how to teach a machine to see it coming.  The Opportunity

This is a rare opportunity to apply advanced ML to a high-stakes, real-world domain within a fast-moving startup. We offer a competitive compensation package including a strong salary and equity. You will work alongside industry veterans and brilliant engineers, building a product where your algorithms directly impact strategic decision-making. At Novaex, you aren't just training models; you are engineering the future of commodity intelligence.