Senior Data Infra & AI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Data Infra & AI Engineer (AI/Data Infra): Building and owning company-wide LLM and machine learning infrastructures to enhance AI features with an accent on scalable data storage and processing systems. Focus on designing end-to-end AI frameworks, optimizing ETL processes, and leveraging diverse data sources for high-value data products.
Location: Tel Aviv
Company
builds business-to-business (B2B) payment tools so small business owners can spend less time in the back office and more time on their craft.
What you will do
- Design, implement, and maintain scalable, reliable, and secure data storage, processing, and application systems.
- Build and own company-wide LLM and machine learning infrastructures to increase the quality and velocity of AI features.
- Utilize data for analysis and entity mapping to apply insights for new product solutions.
- Collaborate with software engineers, data scientists, product managers, and analysts to lead projects from design through to production.
- Influence the overall user experience and technical development of a unique B2B payments platform.
Requirements
- 8+ years of professional experience in software architecture, design, and engineering.
- Experience working with data at scale, data services architecture, and ETL processes.
- Understanding of data scaling challenges.
- Independent, fast learner with excellent communication and collaboration skills for cross-functional work.
Nice to have
- Experience with Large Language Models (LLMs) or MLOps infrastructure.
- Experience with serverless products such as AWS Lambda.
- Proficiency in TypeScript or Python in backend environments.
- Experience with data application and streaming technologies like Spark, Databricks, Snowflake, Kafka, or Kinesis.
Culture & Benefits
- Modern tech stack: AWS Serverless, Snowflake, Databricks, and SAM CLI.
- Vibrant work culture in one of the fastest-growing B2B payment platforms in the US.
- Diverse team environment for passionate team players.
- Equal-opportunity employer.
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