About epiFi
Who are we : Simply put, a neo-banking startup for digital natives. Our mission is to help our users demystify their finances, maximize their savings and spend intelligently. We are building a highly secure - hub- a savings account that allows you to consolidate your finances in a single intuitive view.
Who are we looking for: Exceptional, innovative people! Passionate about delightful user experiences, clear about doing the right thing and hungry to impact millions of lives.
Why you should choose us: We are about doing the right thing always, both for our team and users. We are a positive, transparent and inclusive community celebrating success together, encouraging bias for action and individual brilliance. We are ambitious and want everyone thinking - impact and growth. Our office is not just fun, it is human, nimble and business-like.With rich experience in the world's leading tech companies and banks, we deeply and equally understand both the - fin- and - tech- in fintech. Funded by leading global VCs, we- re in pursuit of a fantastic experience for both our consumers and colleagues.
You should apply if :
- Demonstrated application of ML techniques in the industry for a problem at scale with fruitful results.
- Ability to build, deploy and scale ML solutions/platforms including feature store, distributed training, model serving, deployment, experimentation framework etc
- Experience using machine learning libraries or platforms such as Tensorflow, Caffe, Theano, Scikit-Learn, Spark ML, etc.
- Hands-on experience with Python, scala, Go or Java.
- Knowledge of backend software engineering, data pipelines and data warehousing technical architectures.
- Knowledge of cloud computing, hosted services and multi-tenant cloud infrastructure
We aspire to create an inclusive culture of diverse people not just because it's the right thing to do but because heterogeneity inspires us and is more fun! We employ people solely on merit and do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.