Join a cutting-edge data infrastructure startup in Tel Aviv and contribute to the development of a platform transforming unstructured data for enterprise use. This dual-role position combines backend development and data science, offering a unique opportunity to work at the intersection of machine learning and scalable systems.

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What You'll Be Doing:

• Build scalable data ingestion, transformation, and storage pipelines.
• Develop efficient ETL workflows using tools like Airflow and Kafka.
• Create data APIs and services to power the transformation platform.
• Integrate machine learning models into production systems.
• Optimize infrastructure and system performance.
• Design and implement advanced machine learning models and algorithms.
• Work with unstructured data sources to derive insights and innovate.
• Collaborate with the backend team to deploy and optimize ML components.
• Experiment with emerging AI/ML techniques, including LLMs.
• Communicate findings and recommendations to stakeholders.

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What You Bring:

• 4+ years of experience in Python and data engineering (backend).
• 2+ years of hands-on experience in machine learning and data science.
• Proficiency in Linux, cloud platforms (GCP), data warehousing, and ETL tools.
• Strong programming skills in Python and experience with SQL.
• Familiarity with data pipelines, APIs, and distributed systems.

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Preferred Qualifications:

• Experience working with unstructured data sources.
• Background in integrating machine learning into production environments.
• Knowledge of containerization and orchestration (e.g., Kubernetes).
• Exposure to the latest advancements in AI/ML, including LLMs.

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משרה #105, מיועדת לנשים ולגברים כאחד.
  https://tinyurl.com/mwm63ap4 לחץ כאן להגיש מועמדות