Netskrt is looking to rent a Director of Engineering (Analysis) To lead our analysis initiatives and ML from A to Z and enable our teams to get the most insight into the data. You are enthusiastic about data -based innovation, especially widely. This situation is located in our beautiful office in the city center Vancouver, BC It is located next to Burrard Skytrain. This is it Hybrid With two days in the office.

We are a global content delivery company (CDN) that builds the future of smart traffic management. CDN from Netskrt consists of three main components: smart content collection, gradual and distribution; Adaptive networks, benefit from connection when available; And the bridal storage memory that is published in Internet service providers and private network sites to deliver content to consumers.

You will work alongside a group of emotional engineers and data scientists in a truly cooperative environment and help form the technical trend of the high -influential green fields initiative in a leading company in CDN technology.

Main responsibilities:

• High performance engineering team focuses on improving the traffic driven by ML.
• Developable architectural data pipelines benefit from the Cafka, Clickhouse, and a TERABYTES processor from daily arrival records.
• Cooperating closely with the product teams, platform and leadership to identify and implement our analyzes and ML strategy.
• Paying the development and deployment of automated learning algorithms to improve the real -time CDN traffic management.

Required qualifications:

• Bachelor’s degree in computer science, data science, statistics or relevant field
• A deep experience of engineering teams in data, analyzes, or ML (is widely preferred).
• Knowledge of experts in processing distributed data (Kafka, Spark, Click or the like).
• A busy record in processing the TEABYTES processor or more of the data per day.
• A strong wallpaper in ML/AI for operational systems or network improvement is a huge addition.
• The experience of building and directing various and high performance teams.

Main Skills:

• Amnesty International/mm
• Big data
• Cafka
• spark
• SuperSet
• Clickhouse
• ETL pipelines

It is good to know:

• Competitive compensation depending on experience
• Health benefits on the first day
• Stock options
• A very cooperative environment
• Sut/stand offices
• Monthly desktop and social snacks
• A safe bike room in the offices building
• A gym in the offices building

Netskrt is looking to rent a Director of Engineering (Analysis) To lead our analysis initiatives and ML from A to Z and enable our teams to get the most insight into the data. You are enthusiastic about data -based innovation, especially widely. This situation is located in our beautiful office in the city center Vancouver, BC It is located next to Burrard Skytrain. This is it Hybrid With two days in the office.

We are a global content delivery company (CDN) that builds the future of smart traffic management. CDN from Netskrt consists of three main components: smart content collection, gradual and distribution; Adaptive networks, benefit from connection when available; And the bridal storage memory that is published in Internet service providers and private network sites to deliver content to consumers.

You will work alongside a group of emotional engineers and data scientists in a truly cooperative environment and help form the technical trend of the high -influential green fields initiative in a leading company in CDN technology.

Main responsibilities:

• High performance engineering team focuses on improving the traffic driven by ML.
• Developable architectural data pipelines benefit from the Cafka, Clickhouse, and a TERABYTES processor from daily arrival records.
• Cooperating closely with the product teams, platform and leadership to identify and implement our analyzes and ML strategy.
• Paying the development and deployment of automated learning algorithms to improve the real -time CDN traffic management.

Required qualifications:

• Bachelor’s degree in computer science, data science, statistics or relevant field
• A deep experience of engineering teams in data, analyzes, or ML (is widely preferred).
• Knowledge of experts in processing distributed data (Kafka, Spark, Click or the like).
• A busy record in processing the TEABYTES processor or more of the data per day.
• A strong wallpaper in ML/AI for operational systems or network improvement is a huge addition.
• The experience of building and directing various and high performance teams.

Main Skills:

• Amnesty International/mm
• Big data
• Cafka
• spark
• SuperSet
• Clickhouse
• ETL pipelines

It is good to know:

• Competitive compensation depending on experience
• Health benefits on the first day
• Stock options
• A very cooperative environment
• Sut/stand offices
• Monthly desktop and social snacks
• A safe bike room in the offices building
• A gym in the offices building