Job Description

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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 new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver;
- Work with engineering teams to implement new 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 new 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 cloud infrastructure.




- Solid knowledge of machine learning techniques (i.e. classification, regression, and clustering);
- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience;
- Understand machine learning principles (training, validation, etc.);
- Expertise in visualizing and manipulating big datasets
- Knowledge of data query and data processing tools (i.e. SQL).

Mandatory Skills

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generative ai, Machine Learning, Artificial Intelligence

Location

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Bangalore, Karnataka, India

Years Of Exp

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3 to 7 years

Why you should choose us?

Are you interested in working for a Global Leader in E-commerce? Are you excited about working on highly scalable platforms and applications that are accessed by millions of users every day? If so, read on to find out more about the opportunity.

Rakuten is the largest E-commerce company in Japan and one of the largest E-commerce and Internet Services companies in the World. Rakuten is ranked in top 20 most innovative companies in the world by Forbes.

Rakuten India Development Centre is the second largest technology hub outside of Japan that enables & builds platforms for global E commerce, Payments, Digital, AI, Data Science services across the globe. The India arm serves as a research and development center with an employee strength of around 450+ (& Growing).

Rakuten is committed to cultivating and preserving a culture of inclusion and connectedness. We are able to grow and learn better together with a diverse team and inclusive workforce. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and Rakuten’s achievement as well. In recruiting for our team, we welcome the unique contributions that you can bring in terms of their education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, color, religion, disability, sexual orientation and beliefs”

📌 Senior Software Engineer I - ML (India)
🏢 Rakuten
📍 India