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summary

posted 1 december 2023

job details

At least 5 years of experience as a senior leader and managing Data Engineering and Data Science Team members.
8+ years of software engineering experience and a proven track record of successfully architecting and taking ML systems to production.
Designed and built multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data flows and algorithm execution
Ability to explain and present analyses and machine learning concepts to a broad technical audience
Have an extreme bias towards action. Basically, have the “Get Things Done” type of attitude.
Be able to maintain high-performance within a high-energy and fast-paced work environment.
You have a master degree or equivalent in Computer Science, Engineering, Mathematics or related field
Working knowledge of PyTorch, Tensorflow or other similar frameworks is a plus
Working experience of AWS SageMaker, Google Vertex is a plus

...

At least 5 years of experience as a senior leader and managing Data Engineering and Data Science Team members.
8+ years of software engineering experience and a proven track record of successfully architecting and taking ML systems to production.
Designed and built multiple complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines for both data flows and algorithm execution
Ability to explain and present analyses and machine learning concepts to a broad technical audience
Have an extreme bias towards action. Basically, have the “Get Things Done” type of attitude.
Be able to maintain high-performance within a high-energy and fast-paced work environment.
You have a master degree or equivalent in Computer Science, Engineering, Mathematics or related field
Working knowledge of PyTorch, Tensorflow or other similar frameworks is a plus
Working experience of AWS SageMaker, Google Vertex is a plus

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