Senior Ai Engineer
4 semanas atrás
.Social network you want to login/join with:Client:Location:Job Category:OtherEU work permit required:YesJob Reference:f5a3848ff057Job Views:44Posted:23.01.2025Expiry Date:09.03.2025Job Description:Position Overview: The Artificial Intelligence Engineer is a member of the Siemens Cybersecurity (CYS) Defense team.
The primary mission is to detect, analyze, investigate and defend against sophisticated cyberattacks.
The AI Engineer designs, implements and operates AI use cases on top of the Siemens CYS AI platform leveraging cloud and on-premise services.
She/He translates functional requirements from different CYS teams into high-performance Cyber Defense AI use cases that integrate with other Cybersecurity Siemens platforms.
Come join usResponsibilities:Apply advanced skills to resolve complex problems not covered by existing procedures or practices independently.Assess and translate Cyber Defense requirements into Artificial Intelligence use cases.Assess and translate functional and operational requirements into a detailed architecture.
You will leverage Amazon Web Services (AWS) and Siemens CYS AI Platform features to build and architect AI use cases.Build or integrate automation tools to deploy and monitor AI use cases.Collaborate and assist team members on the design, implementation and operationalization of AI use cases.Operate Big Data streaming/real-time/batch environments.Develop and deploy Cyber Defense AI use cases on top of Siemens CYS AI platform based on AWS, through CI/CD pipelines.Integrate AI use cases with advanced forensic tools.Interface with external entities in an operational environment.Display a high level of critical thinking in bringing successful resolution to high-impact, complex, and/or cross-functional problems.Demonstrate and apply comprehensive knowledge of field of specialization to the successful completion of complex assignments.Required Knowledge/Skills:BS/BA in related discipline, or advanced degree, or equivalent combination of education and experience.
Certification may be required in some areas.Typically, 3-5 years of successful work experience with multiple years in a related field or solid theoretical understanding of AI, Data Science or a related field.Successful demonstration of Key Responsibilities and Knowledge as presented above.
Advanced degree MAY be substituted for experience, where applicable.Extensive background in AI, Data Science and Statistics.Experience with modern Data Science frameworks; e.G.
Amazon SageMaker, Tensorflow, PyTorch, Scikit-Learn, LangChain, end-to-end AI platforms.Experience on conducting AI experiments and report results.Experience with Unix based systems.Proven skills with data engineering, ingestion and integration frameworks; e.G.
related AWS serverless services, queues, databases, Spark/PySpark, event driven architectures, etc.Proven skills in structuring code, code design patterns and programming languages; e.G.
Python, Java
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