Position: Machine Learning Engineer/Tech Lead
Company: Colobridge
Experience required: 2y
English level: upper

**What We Do**
We create AI-based application solutions for Digital Marketing & Sales. As a Machine Learning Engineer/Tech Lead, you will become part of a product team that develops and implements services to optimize customer acquisition and retention processes. Our platform is a separate project by the German corporate cloud operator Colobridge GmbH called beinf.ai.
**Your responsibilities include:**
Building a strong engineering base in the Data Science team.
Development and deployment of AI-Marketing Platform as a service.
Build and maintain an Actionable Insights Ecosystem (AIE).
Deliver end-to-end machine learning solutions to address product challenges.
Build and maintain high-performance, scalable AI-based services to personalize communications with millions of users.
Implementation of tools that allow the Data Science team to increase their productivity.
Coaching employees in Data Science and ML.
**You're our ideal candidate if you:**
Have 2+ years of experience with ML;
Have experience in developing and delivering AI-based products;
Have desire to work and develop towards Solution Architect in the field of ML;
Have experience working with big data;
Are strong and tough coder (OOP, microservices, systems design);
Have good background with databases (preferably relational);
Have experience with Clouds (preferably GCP);
Have experience working with business, product and other technical teams;
Have experience taking a leading role in building products, fostering career growth of engineers, and establishing best practices within your team;
**Additionally needed:**
Solid understanding of the main concepts in such areas as:
statistics
probability theory
theory of optimisation
regression analysis
time series analysis
classification/segmentation
**Current stack:**
GCP (Big Query, cloud run), Python
**Please share your GitHub account if you have some project there we could review.**