עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
we are looking for a Senior ML Engineer.
Responsibilities:
Work on our core data and machine learning infrastructure, which is at the heart of our offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation.
All in large scale and completely automated.
Responsibilities:
Work on our core data and machine learning infrastructure, which is at the heart of our offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation.
All in large scale and completely automated.
Requirements:
5+ years experience as a Machine Learning Engineer.
10+ years of experience with Python/Java/Scala.
Strong understanding of distributed systems, object-oriented programming and design patteri
Distributed Compute frameworks such as Spark, Dask, Ray etc
Hands-on experience designing, training, and deploying machine-learning models
MLOps:
Hands-on experience with open source ML libraries like: catboost, lightgbm, xgboost, scikit-learn, NumPy, Pandas, Microservices architecture, cloud technologies, Docker/K8s.
Ability to design and own a feature through all its phases.
Bonus:
BSc./MSc. In CS or similar an advantage
Building data pipelines using Apache Airflow
Hands on experience with Spark, SparkSQL, Spark streaming and other Spark related projects
5+ years experience as a Machine Learning Engineer.
10+ years of experience with Python/Java/Scala.
Strong understanding of distributed systems, object-oriented programming and design patteri
Distributed Compute frameworks such as Spark, Dask, Ray etc
Hands-on experience designing, training, and deploying machine-learning models
MLOps:
Hands-on experience with open source ML libraries like: catboost, lightgbm, xgboost, scikit-learn, NumPy, Pandas, Microservices architecture, cloud technologies, Docker/K8s.
Ability to design and own a feature through all its phases.
Bonus:
BSc./MSc. In CS or similar an advantage
Building data pipelines using Apache Airflow
Hands on experience with Spark, SparkSQL, Spark streaming and other Spark related projects
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
רעננה
