Senior Software Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
What you get to do in this role:
Data Extraction and Pre-processing: Normalizing and pre-processing data creating datasets organizing outcomes documenting data-quality checks.
Model Evaluation Implementation & Maintenance: Evaluating selecting and implementing models locally setting up automated drift / performance monitoring in production.
Solution Design: Contribute to solution diagrams.
Education and Training: Educating engineers on data and model management best practices through individual and team sessions.
Presentation and Documentation: Preparing and presenting explanatory documents and presentations to PMs and relevant internal customers .
Production Deployment of Models: Bringing Python models to production paying attention to non-functional requirements such as predictive accuracy robustness security performance and storag
Qualifications :
To be successful in this role you have:
Experience in leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools automating workflows analysing AI-driven insights or exploring AIs potential impact on the function or industry.
3-5 years experience in industry working in a data related role where more than 50% of time spent actively working in data
Strong Data Literacy: Deep understanding of data including data extraction normalization preprocessing and evaluation as well as event streaming and data pipelines. Industry experience of working with big data technologies and ELT.
Technical Proficiency: Proficiency in Python SQL and JavaScript is essential as the role involves creating datasets mapping and adjusting code migrating proof of concept code (Python) into production (JavaScript) as well as performing exploratory data analysis (EDA).
Preference for someone who has either of below:
a BSc or BEng in Computer Science or Software Engineering and a Masters in AI or Data related
AI major in their Bachelors degree and additional learning in Data or AI - could be certified or college
The role requires being in the office a minimum of two days per week and working with teams across different regions.
Additional Information :
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color creed religion sex sexual orientation national origin or nationality ancestry age disability gender identity or expression marital status veteran status or any other category protected by law. In addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
