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
30,000-45,000 ₪
Architect and Evolve Data Infrastructure- Design and implement scalable data pipelines, Data Lakes, and Data Warehouses to support analytics, AI, and product intelligence.
Build and Deploy AI-Powered Systems- Operationalize AI/ML models- from prototyping to production-grade inference- ensuring performance, monitoring, and reliability.
Enable BI and Analytics- Collaborate with business and product teams to turn raw data into actionable insights, visualizations, and predictive metrics.
Ensure Data Quality and Governance- Establish standards for data collection, validation, lineage, and retention.
Leverage LLMs and AI APIs- Integrate modern large language models and external AI services for chatbots, insights generation, and automation use cases.
Collaborate Across Teams- Work closely with engineers, ML specialists, and product stakeholders to align data and AI architecture with business goals.
Build and Deploy AI-Powered Systems- Operationalize AI/ML models- from prototyping to production-grade inference- ensuring performance, monitoring, and reliability.
Enable BI and Analytics- Collaborate with business and product teams to turn raw data into actionable insights, visualizations, and predictive metrics.
Ensure Data Quality and Governance- Establish standards for data collection, validation, lineage, and retention.
Leverage LLMs and AI APIs- Integrate modern large language models and external AI services for chatbots, insights generation, and automation use cases.
Collaborate Across Teams- Work closely with engineers, ML specialists, and product stakeholders to align data and AI architecture with business goals.
Requirements:
810+ years of experience in software, data, and/or AI systems architecture.
Proven experience designing and implementing data pipelines, ETL/ELT workflows, Data Lakes, and Data Warehouses.
Strong hands-on expertise with SQL and NoSQL databases.
Solid understanding of distributed systems and client-server architectures.
Understanding of real-time analytics and stream-processing architectures.
Experience deploying AI/ML models to production (wrapping inference services, monitoring performance).
Knowledge of streaming systems (Kafka, Pub/Sub) and workflow orchestration tools (Airflow, etc.).
Experience integrating LLMs or AI APIs into production products (chatbots, embeddings, recommendations).
Strong grasp of cloud environments (GCP, DigitalOcean, AWS, etc.) and container orchestration (Docker, Kubernetes).
Experience with BI/analytics workflows (e.g., BigQuery, Looker).
Excellent communication skills and proficiency in English (Intermediate+).
810+ years of experience in software, data, and/or AI systems architecture.
Proven experience designing and implementing data pipelines, ETL/ELT workflows, Data Lakes, and Data Warehouses.
Strong hands-on expertise with SQL and NoSQL databases.
Solid understanding of distributed systems and client-server architectures.
Understanding of real-time analytics and stream-processing architectures.
Experience deploying AI/ML models to production (wrapping inference services, monitoring performance).
Knowledge of streaming systems (Kafka, Pub/Sub) and workflow orchestration tools (Airflow, etc.).
Experience integrating LLMs or AI APIs into production products (chatbots, embeddings, recommendations).
Strong grasp of cloud environments (GCP, DigitalOcean, AWS, etc.) and container orchestration (Docker, Kubernetes).
Experience with BI/analytics workflows (e.g., BigQuery, Looker).
Excellent communication skills and proficiency in English (Intermediate+).
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.
לוד
