ServiceNow
Hyderābād
Enterprise Software & Network Solutions
Company Description
ServiceNow is making the world of work, work better for people. Our cloud‑based platform and solutions deliver digital workflows that create great experiences and unlock productivity for employees and the enterprise. We’re growing fast, innovating faster, and making an impact on our customers’ and employees’ lives in significant and important ways. With over 6,900 customers, we serve approximately 80% of the Fortune 500, and we’re on the 2020 list of FORTUNE World’s Most Admired Companies.®
We’re looking for people who are ready to jump right in and help us build on our incredible momentum, our diverse, engaged workforce, and our purpose to make the world of work, work better.
Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.
Job Description
ServiceNow is changing the way people work. With a service-orientation toward the activities, tasks and processes that make up day-to-day work life, we help the modern enterprise operate faster and be more scalable than ever before.
We’re disruptive. We work hard but try not to take ourselves too seriously. We are highly adaptable and constantly evolving. We are passionate about our product, and we live for our customers. We have high expectations and a career at ServiceNow means challenging yourself to always be better.
What you get to do in this role:
As part of the ServiceNow’s Machine Learning Quality Engineering team, work on ML-specific test strategies, and build testing frameworks. Opportunity to learn, work and contribute to the innovative and enterprise grade ServiceNow’s Natural Language Understanding and Artificial Intelligence engine as part of the overall offering.
Qualifications
In order to be successful in this role, we need someone who has:
- 5+ years professional experience in quality assurance and/or application development ML in the industry with a degree in computer science, machine learning or similar field
- Hands-on experience testing and maintaining large-scale, production systems in Python or Java
- Experience with instrumentation and performance profiling of systems with large memory requirements and tight response tolerances
- Strong test automation skills in Java / Python
- Experience building test frameworks in Java / Python
- Experience with data augmentation, synthetic data, and similar techniques for improving quality and testing scalability
- Ability to analyze results from the test set and create defects based on result patterns
- Familiarity with AI/ML modeling approaches such as supervised and unsupervised techniques
- Good understanding of probability and statistics and their applications to AI/ML software quality evaluation
- Familiarity with common metrics for ML quality such as accuracy, precision, recall, F1-score, AUC, ROC, etc.
- Awareness of ML-specific challenges with reproducible test results, data dependence of testing outcomes
- Working experience with LUIS, Watson, or other NLU providers is a plus
- Ability to scale testing across Multiple Languages is a plus
Additional Information
ServiceNow is an Equal Employment 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.
All new employees hired in the United States are required to be fully vaccinated against COVID-19, subject to such exceptions as required by law. If hired, you will be required to submit proof of full vaccination or have an approved accommodation, by your start date. Visit our Candidate FAQ page to learn more.
If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at [email protected] for assistance.
For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by the U.S. Government.
Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.
Work Personas
Work personas are categories that are assigned to employees depending on the nature of their work. Employees will fall into one of three categories: Remote, Flexible or Required in Office.
Required in Office
A required in office work persona is defined as an employee who is contracted to work from or aligned to a ServiceNow-affiliated office. This persona is required to work from their assigned workplace location 100% of the work week based on the business needs of their role.
Flexible
A flexible work persona is defined as an employee who is contracted to work from or aligned to a ServiceNow-affiliated office and will work from their assigned workplace location roughly 3 days/week or less (generally around 40-60% of the work week). Flexible employees may choose to work the remaining working time from their workplace location or home. Flexible employees are required to work within their state, province, region, or country of employment.
Remote
A remote work persona is defined as an employee who performs their responsibilities exclusively outside of a ServiceNow workplace and is not contracted or aligned to a ServiceNow-affiliated office, including those whose place of work (pursuant to their terms and conditions of employment) is their home. Remote employees are required to work within their state, province, region, or country of employment.
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