Lead Data & AI Engineer
Rakuten · Bengaluru · onsite · Posted 1d ago
Undisclosed6–11 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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.
Strong 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).
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Continuous improvementPrototypePythonSQLComputer ScienceData ProcessingGITData ScienceMachine Learning
About Rakuten
Rakuten
IT Services & Consulting
1.7k+
employees
1997
29 years old
San Mateo,California
United States
About
Rakuten Group operates as a leading eCommerce platform, delivering a diverse array of services including online retail, finance, media, and technology solutions globally.
Industries
IT Services & Consulting
Employee ratings
504 reviews
3.6/ 5
Culture
3.6
Career growth
2.9
Work-life
3.7
Employees rate it well for
Work Life Balance94Work Culture74Senior Management55Salary49Job Security31
Find them on