We are looking for a Machine Learning Engineer, whose primary job responsibility will be to deploy machine learning models on GCP (Google Cloud Platform) and Fast API and make the model inferencing available in real-time or in batch mode as per the business use case. This person will also be responsible for monitoring Model performance, troubleshoot issues and iterate on improvements. Working closely with other MLE, Data Scientists, Product Managers and Software Engineers to develop and deploy the right solution (API/ Chron Jobs etc.), Model Governance, ML-Ops is a must. This will be a high visibility Individual Contributor role focusing on Credit Risk, Growth, Marketing and Customer Service/ Operations use cases of retail Banking customers.

The candidate has to be able to independently manage his/ her own workstream and also effectively collaborate with other regional teams (our teams are in Chennai, Manila and Singapore). Expert level coding in Python and SQL, fluency in ML libraries and frameworks (e.g. scikit Learn, NumPy, pandas, Spacy, catboost etc) are must-have. Should be knowledgeable on GCP Big Query, Vertex AI and Fast API based ML Pipeline.

To be successful, the candidate should have some experience in deploying and maintaining credit risk models, propensity models, segmentation models and attribution models preferably for some financial institutions. The candidate should have experience with diverse sets of data, creative feature engineering and ability to train and fine-tune advanced predictive models like Cat Boost, LightGBM, Logistic Regression, Deep and Wide models etc. Should be a self-starter, curious, problem solver, effective communicator and most importantly a strong team player

Preferred Experience & Qualifications

• BS/ MS in Computer Science/ ML/ other Science or Engineering Disciplines.
• Expert level proficiency in Python and SQL
• Fluent in ML libraries and frameworks (e.g. Scikit Learn, NumPy, Pandas, Catboost, Spacy etc.) 
• Proven experience in ML-Ops, Model Governance on GCP is required
• Min 3 years previous experience in building or deploying predictive models for financial institutions/ start-ups/ System Integrator companies would be given preference.
• Above all, must be a great team player and proactive communicator. Should be comfortable in a fast paced, dynamic and high demanding start-up culture. This is a Table Stake criterion!!!