17 часов назад
Software Engineer (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Machine Learning) (Python/SQL): Building and integrating efficient feature pipelines for healthcare, finance, and recommendation use cases with an accent on bespoke backend solutions and machine learning infrastructure. Focus on gathering customer requirements, implementing Chalk technology across different environments, and partnering with engineering and sales teams during pre-sales and post-sales delivery.
Location: Remote, London, United Kingdom; the role also mentions joining in person.
Company
builds a high-performance data platform and infrastructure for machine learning applications.
What you will do
- Implement technology for customers and prospects across different environments.
- Build efficient feature pipelines for healthcare, finance, fraud prevention, cancer detection, and recommendation use cases.
- Work closely with Engineering and Sales teams.
- Serve as the primary technical contact during pre-sales and post-sales customer engagements.
- Recommend additional products as customer needs evolve.
- Help interview and grow the Engineering team.
Requirements
- 4+ years of professional backend software engineering experience.
- Experience writing software or building machine learning models.
- Proficiency in Python and SQL.
- Strong collaboration, communication, problem-solving, storytelling, and analytical skills.
- Bachelor's degree in Computer Science or equivalent experience.
Nice to have
- Experience with machine learning or data products and services.
- Understanding of MLOps and machine learning infrastructure.
- Experience as a forward-deployed engineer at a high-growth machine learning startup.
- Experience working closely with sales teams and customers.
Culture & Benefits
- Remote work arrangement with an opportunity to join in person.
- Early-employee opportunity at a high-growth startup.
- Close collaboration with customers, Engineering, and Sales.
- Opportunity to make a significant impact on machine learning infrastructure.
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