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ironSource

    דרושים ironSource

    המשרות שלנו (20)
    תחום עיסוק
    חומרה / תוכנה
    כמות עובדים
    51-100
    שנת הקמה
    2008

    עוד עלינו

    משרות ironSource

    הצעות עבודה
    מתוך 1
    נמצאו 2 משרות
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    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Tel Aviv-Yafo
    Job Type: Full Time
    Aura from Unity, a cutting-edge large-scale mobile platform, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic AI team. The ideal candidate will have a strong background in machine learning, data engineering, and software engineering, and will be responsible for leading the design, development, and deployment of cutting-edge machine learning pipelines and systems.
    What you'll be doing
    System Design and Architecture: Develop and maintain robust, scalable, and efficient ML pipelines including data collection, preprocess, and analyze large datasets to facilitate model training, evaluation and monitoring.
    Research and Innovation: Stay current with the latest advancements in machine learning and AI, and apply innovative techniques to improve model performance and application.
    Mentorship and Leadership: Provide technical guidance and mentorship to junior engineers and data scientists, and lead project teams to successful completion.
    Cross-Functional Collaboration: Work closely with data scientists, software engineers, architects and product managers to integrate machine learning solutions into production systems.
    Requirements:
    What we're looking for
    Proficiency in programming languages such as Python or Java/Scala and experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
    Hands on experience in streaming technologies (Kafka, Kinesis, SQS)
    Expert in big data processing frameworks such as Apache Spark, Trino, Ray, Dask.
    Data Lake management knowledge: table formats (Iceberg, Delta). Data-warehouses (Redshift, Big Query, Snowflake)
    MLOps systems - Model registry, Experiment Tracking (MLFlow, W&B), Feature Store management (Feast, Tecton), Workflow management (Kubeflow, Airflow), Serving platform (Seldon Core, KServe, Ray Serve, Sagemaker).
    Knowledge of microservices architecture and event-driven design.
    You might also have
    Proficiency with cloud platforms such as AWS, Google Cloud Platform, or Azure, and experience with containerization technologies like Docker and Kubernetes.
    Understanding of statistical modeling, machine learning algorithms, data structures, and data analysis techniques.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    הגשת מועמדות
    עדכון קורות החיים לפני שליחה
    103063
    שירות זה פתוח ללקוחות VIP בלבד
    דיווח על תוכן לא הולם או מפלה
    מה השם שלך?
    תיאור
    שליחה
    תודה על שיתוף הפעולה
    מודים לך שלקחת חלק בשיפור התוכן שלנו :)
    Location: Tel Aviv-Yafo
    Job Type: Full Time
    SuperSonic by Unity is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic Data Department. In this role, you'll work with petabyte-scale data to design, develop, and deploy state-of-the-art machine learning pipelines and systems. You'll build robust ML infrastructure using AWS services and orchestrate processes with Apache Airflow. If you're a passionate problem solver with a commitment to excellence and thrive in a collaborative environment, SuperSonic by Unity offers a unique opportunity to make a significant impact. Here, your expertise will drive innovation and help shape the future of machine learning, all while working on groundbreaking projects at a massive scale.

    What you'll be doing
    End-to-End Project Ownership: Take charge of feature design from concept through to deployment, ensuring robust, scalable solutions in a complex and dynamic environment.
    Pipeline & Infrastructure Development: Architect and implement advanced machine learning pipelines that efficiently manage and process massive data volumes.
    Collaboration & Teamwork: Embrace a team-first mindset"there is no I in team"actively supporting your peers while continuously learning and striving for excellence.
    Problem Solving: Utilize your analytical skills to navigate technical challenges and deliver high-quality results on schedule, all while taking full ownership of your projects.
    Requirements:
    What we're looking for
    4+ years as a Machine Learning Engineer.
    6+ years of programming experience in Python, Java, or Scala.
    4+ years of experience with AWS and general DevOps practices.
    Deep understanding of distributed systems, object-oriented programming, and design patterns.
    Proficiency with distributed compute frameworks such as Spark, Dask, or Ray.
    Hands-on expertise in designing, training, and deploying machine learning models.
    Proven experience in building data pipelines using Apache Airflow.
    Familiarity with MLOps practices and open source ML libraries (e.g., MLflow, CatBoost, LightGBM, XGBoost, scikit-learn, NumPy, Pandas).
    Hands-on experience with microservices architecture, cloud technologies, and containerization tools like Docker and Kubernetes.
    You might also have
    Bachelor's or Master's degree in Computer Science or a related field is advantageous.
    .המשרה מיועדת לנשים ולגברים כאחד
     
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    הגשת מועמדות
    עדכון קורות החיים לפני שליחה
    103067
    שירות זה פתוח ללקוחות VIP בלבד
    מתוך 1

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