דרושים Data & AI Engineer בתל אביב

A unique opportunity to join a leading healthcare organization as a Data & AI Engineer with a core focus on large-scale data engineering and ETL process development. If you are passionate about designing robust data pipelines, building production-grade code, and integrating cutting-edge AI technologies, this is the position for you!

Key Responsibilities:

• Design, build, and optimize scalable, advanced ETL processes across diverse infrastructures (on-premise and cloud).
• Develop, manage, and monitor complex Data Pipelines for collecting, processing, cleaning, integrating, and storing large-scale healthcare data (EHRs, imaging, genomics, etc.).
• Develop and deploy automated systems and workflows providing infrastructure for data analytics and AI solutions, with a focus on Big Data environments.
• Advanced SQL and Python development for data engineering and automation tasks.
• Utilize cloud technologies (AWS, GCP, Azure) and DevOps tools (Docker, Kubernetes) for efficient delivery and scaling.
• Participate in the implementation of AI/Gen.AI models, with significant advantage for experience in integrating or developing Large Language Models (LLMs).
• Ensure strict adherence to healthcare data regulations (GDPR, HIPAA), upholding strong ethics and data privacy.
• Stay continuously updated with the latest data and AI/GenAI technological advancements.

Requirements:

• At least 2 years of hands-on experience in data engineering – mandatory.
• Proven experience in designing, developing, and maintaining large-scale ETL/data pipelines.
• Strong SQL and Python development skills – mandatory.
• Advantage: Hands-on experience with Gen.AI/LLM model integration or solution development!
• Experience with cloud platforms and DevOps/containerization tools (Docker, Kubernetes) – strong plus.
• Relevant degree in Computer Science, Information/Data Science, Biology or similar.
• Excellent written and verbal communication skills in both English and Hebrew.
• High analytical ability, creative problem-solving, team cooperation, and adaptability to a dynamic environment.

Outstanding Plus: Practical experience with integrating LLMs (Large Language Models) into ETL pipelines or complex data solutions.

If you thrive on data engineering, excel at building advanced ETL pipelines, and are eager to drive innovative AI solutions in healthcare – we want to meet you!