Position: Senior ML Engineer
Company: Grid Dynamics
Category: Data Engineer
Experience required: 5y
English level: upper

Senior to Lead ML Engineer to build ML infrastructure in GCP

**1. Project description**
The candidate will work with the heart of the customer's business - an AdServer system. The candidate should build ML infrastructure in GCP, describe it and compose all needed documentation. Also, a current project requires a set of ML models that should be related  to up to 5 business cases. And take leadership for:
Time to market measurement results for models development in GCP
Migration strategy from AWS to GCP description
Primary Data Warehouse (Snowflake) migration patterns description

**2. Client description**
The client is a  well-recognized digital advertising and attention analytics company based in NYC. It optimizes revenue for publishers, ROI for marketers, and the ad-viewing experience for users. The main areas for them is creating custom formats of advertisements and selling them to clients like Disney and providing analytics for big enterprises like CNN and Facebook
For the past two years, the company has been among the Top 10% of tech companies in North America, as measured by Deloitte LLP.

**3. Details on tech stack**
GCP, AWS, SnowFlake, VertexAI service, BigQuery ML

**4. Min requirements to the candidate**
5+ years of software engineering experience with a successful track record of delivering quality results
Strong software design and development skills 
Experience with parallel and distributed computing
Significant contributions to open source projects
Experience with cloud computing platforms like GCP