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DataOps / MLOps Engineer at ELBIT SYSTEM OF AUSTRALIA PTY LTD

Netanya, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DataOps, MLOps, DevOps, Big Data, AI Solutions, Data Pipelines, OpenShift, S3, Spark, Airflow, Microservices, Python, SQL, Cloud Technologies, Docker, Agile

Industry

Defense and Space Manufacturing

Description

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 programThis 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 perspectivesEstablishment and management of data services (DataOps)Building and optimizing data pipelines to extract data from multiple sources and load it into data warehousesDesign, implementation, and maintenance of data pipelines and services using tools and platforms such as OpenShift, S3, Spark, Airflow, and microservicesApplying best practices and standards for data quality, security, and reliabilityOptimizing performance and scalability of data solutions through automationExploring new technologies and applying innovative conceptsCollaborating closely with Big Data and AI engineers and developers Requirements B.Sc. in Computer Science or Data ScienceAt least 5 years of hands-on experience in the DevOps domainProven experience establishing DevOps including DataOps/MLOps domains end-to-endExperience with DevOps & MLOps concepts and toolsHands-on experience with infrastructures and platforms such as OpenShift and S3Strong background in data technologies and solid understanding of Agile and DevOps philosophiesExperience 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 DockerStrong interpersonal and team collaboration skillsTechnical leadership capabilities

Responsibilities

The role involves the end-to-end establishment of the DataOps and MLOps domains, focusing on both technical and methodological aspects. Responsibilities include building and optimizing data pipelines, managing data services, and collaborating with engineers and developers.