Machine Learning Engineer - Barcelona, España - Mad Collective

Mad Collective

Empresa verificada

Barcelona, España

hace 2 semanas

Publicado por:

Isabel García

beBee Recruiter

Descripción

At Mad Collective we are proud of our diversity (over 32 nationalities) and believe it is one of the most important contributors to our success.

We're 180+ people energized about our future and enjoying everything a high-growth company has to offer.

We offer a hybrid-remote work schedule which enables you to find the right combination of work from home and in-office collaborative time with your team.

Join the collective and go mad with us

What you will do:

You will be part of the Data team working closely with technology teams solving challenges that touch all parts of the business (Marketing, Finance, Product, Billing, and Development).

You will be responsible for the entire Machine Learning lifecycle from building data pipelines, to prototyping models, all the way to deploying models to production.

Main tasks

Develop, test and implement predictive algorithms by using stateoftheart Machine Learning solutions, and statistical models
Automate data pipelines that serve models in the cloud (AWS)
Develop and maintain pipelines for current and new models using AirFlow.
Work with development teams to allow for easy deployment of models
Improve scalability, speed and performance of existing models
Extract, clean, combine and model data from multiple sources
Partner with data scientists, analysts or engineers on data modeling, data processing and analysis
Find creative solutions to problems related to customer lifetime value, ranking, recommendation, and pricing

Requirements:

Minimum 2 years of Software Development experience and at least 1 year in a Machine Learning Engineer/Data Scientist role
Working experience of developing Machine Learning models in production environments
Strong quantitative skills (Statistics, Probability, Machine Learning)
Ability to design software systems complying with software engineering best practices for the full software development life cycle (MLOps lifecycle)
Experience with the following tools / services:
Advance coding skills in Python (numpy, pandas, scikit-learn,.. )
AWS services (S3, DynamoDB, Redshift, EC2, Sagemaker, )
Docker and Docker ecosystem
Git, CI/CD tools and Unit/integration testing
Business Level English: all spoken and written business communications are in English

It will be super nice if you also have:

Ability to write advanced queries in SQL and working knowledge of databases

- (MySQL, Redshift, MongoDB, etc...)

Handson analytical experience on large volumes of data (Spark, etc.).
Experience in building large scale, distributed systems
AWS Fargate o Kubernetes, Terraform, MLFLow

Benefits

Private Health and Dental Insurance plan for employees.
Subsidized gym memberships and fitness classes.
Monthly internet allowance.
Working from home setup allowance.
Company sponsored Spanish, Catalan and English classes.
Sponsored training and development.
Quarterly company bonus programme.
Top notch Apple equipment.
Remote policy and flexible working hours
Flexible Bank Holidays. Design your own working calendar with a lengthy consecutive vacation day policy.
Day off for your birthday.
Hybrid remote model office