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Machine Learning Engineer
Machine Learning Engineer-November 2024
Tel Aviv
Nov 21, 2024
ABOUT NETAPP
We’re the leader in hybrid cloud data services and help customers move from building data centers to building data fabrics.
10,000+ employees
Technology
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About Machine Learning Engineer

  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

  Spot by NetApp is one of the largest companies for cloud workload automation. We aim to improve performance, reduce complexity, and lower compute infrastructure costs. As a significant contributor within the realm of cloud optimization, Spot confronts an array of challenges. Spot by NetApp devises solutions for complex core issues, such as workload distribution, usage predictions, and efficient allocation of spare resources - handling large amounts of data.

  Your Role:

  Utilize ML models and algorithms in production to improve product metrics and drive business outcomes. Evaluate and select appropriate machine learning techniques and algorithms for specific tasks. Design, develop, and maintain data pipelines and ETL processes to ingest, transform, and load data from various sources into our data systems. Conduct experiments and perform statistical analysis to evaluate algorithms performance and identify areas for improvement. Allowing the machine learning infrastructure to effortlessly accommodate billions of real-time decisions. Translating business requirements into databases, data warehouses, and data streams.

  Job Requirements

  Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A minimum of 5 years of software development (Pyhton/Java/GoLang) in a SAAS platform, involvement in scalable data architecture, resilient ETL processes, and vigilance over data integrity in cloud environments. Minimum of 2 years experience in machine learning field. Working with machine leaning principles, techniques, and best practices (ML algorithm selection, and cross-validation) Solid understanding of machine learning algorithms, statistical modeling, and data analysis. Experience with large-scale database systems (e.g., Aurora, Elasticsearch, Snowflake). 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)

  Advantages:

  M.Sc. in computer science or related degree - major advantage Devops experience A strong portfolio or previous work demonstrating machine learning projects or applications.

  Did you know...

  Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you.

  why Spot?

  Our cutting-edge platform leverages machine learning and automation to optimize cloud costs and performance.

  With Spot, you'll be part of a team shaping the future of cloud computing, redefining what's possible. Don't miss the opportunity to be at the forefront of innovation and join us on this transformative journey. Experience efficiency, agility, and scalability like never before. Take the leap and unlock your potential with Spot by NetApp

  Job Segment: Cloud, Data Analyst, Data Architect, Statistics, Computer Science, Technology, Data

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