About Spot
Spot by NetApp is a dynamic, fast-growing tech company with Israeli headquarters located in Tel-Aviv.
Spot is building innovative technology that is revolutionizing the cloud-computing industry and a team of highly motivated and creative employees, our vision is to optimize the way DevOps and R&D teams consume cloud computing.
Job Summary
- Architecting the machine learning infrastructure to effortlessly accommodate billions of real-time decisions.
- Establishing data pipelines that encompass feature extraction, ensuring data integrity, and vigilantly overseeing model performance and its evolution over time.
- Collaborating closely with researchers to establish connections between existing data and the effective utilization of state-of-the-art models.
- Translating business requirements into databases, data warehouses, and data streams.
- Championing the integration of MLOps practices across the organization, alongside collaboration with MLOps companies.
- Enhancing the machine learning experience within the Spot platform.
- Developing code for statistical analysis, data manipulation, and playing a role in analyzing data.
Job Requirements
- A minimum of 2 years' involvement in scalable data architecture, resilient ETL processes, and vigilance over data integrity in cloud environments.
- Experience with large-scale database systems (e.g., Aurora, Elasticsearch).
- Proficiency in engines for extensive data processing (e.g., Spark, Scala, Kafka).
- Proven familiarity with working within public cloud environments (e.g., AWS / GCP / Azure)
- Understanding of machine learning principles, techniques, and best practices (ML algorithm selection, and cross-validation)
- Proven experience with software development (Python/Java)
Advantages:
- BSc/BA in computer science or related degree – major advantage
- Java/Golang experience
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