Machine Learning Engineer

We are Kueski, and our mission is to develop an ecosystem of financial products which are simple and convenient for our users.

We are part of the financial digital transformation, being one of the key players in México.

Our Data Science team plays a key role in accomplishing Kueski`s mission, developing machine learning applications which allow us to make complex assessments in real time, improving our operational processes and making things easy for our clients.

WANTED

We are looking for a passionate machine learning engineer who has a strong software engineering background, and who is passionate about building reliable machine learning systems, building and deploying reliable ML pipelines in production environments and being constantly challenged with complex problems.

You have experience working with data science and machine learning tools (pandas, numpy, sklearn, etc.) and using cloud technologies. Also, you have experience deploying automated... machine learning pipelines (data validation, model training, model validation, model serving, etc.).

REWARD

You will:
• receive a competitive salary and benefits package.
• make use of state-of-the-art technologies in real-life situations.
• be part of a team consisting of sharp and collaborative members.
• be a key element building core components of our decisioning system.
• create models and systems that enable amazing products.

Come and join an awesome company, which is a key participant of a great industry.

APPLY

Kueski focuses on Financial Services, Finance, and Credit. Their company has offices in Guadalajara. They have a mid-size team that's between 51-200 employees. To date, Kueski has raised $36.3M of funding; their latest round was closed on April 2016.

You can view their website at http://www.kueski.com or find them on Twitter
Guadalajara Jalisco Mexico

Salary Criteria