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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
Required Senior ML Engineer
The opportunity:
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.
The opportunity:
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:
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.
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.
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
