Data & AI Engineer

• 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.

• 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.

Mploy