AI Data Engineer
AI Data Engineer
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1 Vacancy
Job Description
CyberArk is seeking a highly motivated and experienced AI Data Engineer with strong analytical capabilities and creative thinking skills to join our AI Technology group. This role is ideal for someone who thrives at the intersection of data engineering and machine learningsomeone who can design scalable data solutions to support AI first business solutions.
About the Team:
The team provides support to the entire Transforming Our Work initiative by building automating and maintaining internal infrastructure in a manner that enables self-service low/no code and enterprise solutions. It consists of development in support of internal tools infrastructure for testing and development and enterprise technology support for CI/CD DevOps and orchestration.
We are currently looking for an AI Data Engineer to join us in our work to collaborate with data scientists and developers to create AI solutions for our business
Responsibilities:
- Build high-performance resilient and automated data pipelines using modern orchestration tools (e.g. Airflow dbt Prefect) and cloud-native services
- Collaborate to develop and optimize retrieval-augmented generation models to enhance the accuracy and relevance of generated content.
- In collaboration with the data science team incorporate efficient retrieval systems to fetch relevant data from large datasets ensuring the generation process is informed by accurate and up-to-date information
- Monitor and evaluate model performance: Continuously assess the performance of RAG models identifying areas for improvement and implementing necessary adjustments.
- Business Requirements Translation: Collaborate with stakeholders to gather analyze and translate business requirements into technical specifications and scalable data solutions
- Lead and manage data-related projects end-to-end including planning configuration testing and deployment
- Act as a technical mentor sharing expertise with colleagues and promoting best practices in data engineering and business analysis
#LI-EB1
Qualifications :
- Bachelors degree in information science computer science or a related field.
- 5 years of experience in Data Engineering strong business intuition
- Demonstrated knowledge of retrieval-augmented generation solutions/pipelines and their application
- Experience with frameworks such as TensorFlow PyTorch or similar specifically in the context of developing RAG models
- Ability to analyze complex data and model performance metrics identifying and addressing issues to improve outcomes
- Hands-on experience with orchestration tools like Apache Airflow dbt or Prefect
- Experience with cloud platforms (AWS Azure or GCP) and services
- Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders
- Strong project management skills and experience working in cross-functional teams.
- Experience in the hi-tech industry and working in global teams is a plus
If several of the following apply to you theres a high chance that youd be a fit for our team:
- You care about best practices and what it takes to write and maintain great code
- You care about managing technical debt
- You get end-to-end with solutions early in order to de-risk them
- Feedback loops especially with real customers who use what you create are a highly valued asset
- You love to quickly adopt new tools and languages
- You have an interest in the DevOps landscape
Additional Information :
CyberArk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion creed sex sexual orientation gender identity national origin disability or protected Veteran status.
We are unable to sponsor or take over sponsorship of employment Visa at this time.
The salary range for this position is $98000 $135000/year plus commissions or discretionary bonus which will be based on the employees performance. Base pay may also vary considerably depending on job-related knowledge skills and experience. The compensation package includes a wide range of medical dental vision financial and other benefits.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
