We are looking for a Software Engineer with a strong foundation in Data Science to join our team in Jodhpur. This isn't just a "coding" job; you will be responsible for building and maintaining high-accuracy predictive systems for the Stock Market. You will sit at the intersection of software engineering and quantitative analysis, ensuring our models are not just theoretically sound, but production-ready and robust.

What You'll Be Doing :

- Model Development : Design and build robust Machine Learning models in Python specifically for stock price prediction and market trend analysis.

- End-to-End Accuracy : Own the full lifecycle of a model from rigorous backtesting against historical data to managing real-time deployment for live market execution.

- System Engineering : Write clean, scalable, and efficient code to ensure our financial systems handle high-frequency data with zero lag.

- Data Integrity : Collaborate on data pipelines to ensure the "ground truth" data feeding your models is accurate and reliable.

What We're Looking For :

- Education : Bachelors or Masters degree in Computer Science, Statistics, or Finance.

- Technical Proficiency : 1-3 years of professional experience with Python and its DS ecosystem (Pandas, NumPy, Scikit-Learn, etc.).

- Financial Acumen : A solid understanding of Stock Market dynamics. You should know your way around technical indicators, market liquidity, and order books.

- The "Accuracy" Mindset : Experience in validating models to minimize risk. You understand that in finance, a 1% error can be the difference between success and failure.

- Location : Must be willing to work on-site at our Jodhpur office.

Why Join Us :

- High Impact : Your models will directly influence financial outcomes in real-time.

- Complexity : Solve some of the hardest problems in tech predicting market movements