Job Description:

Responsibilities:
Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders;
Develop scalable algorithms and methods to provide real-time recommendations;
Explore recent technology shifts in order to determine how they might connect with the customer benefits we wish to deliver;
Work with engineering teams to implement current models while considering functionality for recommendation output;
Collaborate with Data Scientists to prototype new algorithms and design experiments for evaluation to enhance our marketing efficiency;
Contribute to a culture of continuous improvement, and data driven results;
Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models;
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models;
Discover data sources, ingest and cleanse them in a meaningful way for data processing.




Participate in design discussions about current features and approaches to implementing new services;
Take end to end ownership of Machine Learning systems – from data pipelines and training, to real-time prediction engines;
Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.

Requirements:
Bachelor’s degree or higher (completed and verified prior to start) from an accredited university;
Preferably working experience in FinTech or Credit Card industry.
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark);
Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code;
Should have clear understanding of Generative AI and various LLM models.
Databricks Delta Lake architecture and MLflow is an added advantage.
Good knowledge of Azure

📌 Senior Software Engineer I Bengaluru (India)
🏢 Rakuten International
📍 India