DataOps \ MLOps Engineer

תיאור המשרה

We are looking for

A DataOps Engineer to lead the establishment of the DataOps domain, including MLOps, end-to-end within the military AI program

This role applies DevOps methodologies and tools to build and deploy Big Data and AI solutions with meaningful technological impact in a secure and innovative environment

Responsibilities

End-to-end establishment of the DevOps domain including DataOps and MLOps from both technical and methodological perspectives

Establishment and management of data services (DataOps)

Building and optimizing data pipelines to extract data from multiple sources and load it into data warehouses

Design, implementation, and maintenance of data pipelines and services using tools and platforms such as OpenShift, S3, Spark, Airflow, and microservices

Applying best practices and standards for data quality, security, and reliability

Optimizing performance and scalability of data solutions through automation

Exploring new technologies and applying innovative concepts

Collaborating closely with Big Data and AI engineers and developers

Requirements

B.Sc. in Computer Science or Data Science

At least 5 years of hands-on experience in the DevOps domain

Proven experience establishing DevOps including DataOps/MLOps domains end-to-end

Experience with DevOps & MLOps concepts and tools

Hands-on experience with infrastructures and platforms such as OpenShift and S3

Strong background in data technologies and solid understanding of Agile and DevOps philosophies

Experience with Python and SQL (and/or other programming languages), data analytics and pipeline projects, cloud technologies (GCP, AWS, etc.), unit testing and integration frameworks, and Docker

Strong interpersonal and team collaboration skills

Technical leadership capabilities

*Only relevant applications will be answered

#Netanya