DataOps / MLOps Engineer

תאור משרה

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