Staff Machine Learning Engineer

Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. 

With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

What you get to do in this role:

We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. 

Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them. 

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services.  Act as a resource to the Machine Learning team with regards to Data Lifecycle Management.  We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

ML Engineering:

• Develop and maintain a knowledge of real-time and snapshotted data sources from across the company, as well as Analytics team members responsible for various sources. 
• Work with the Data Scientists to develop and implement key machine learning models 
• Facilitate ML data preparation and scoring, and support the ML strategy for the Enterprise Data Platform to optimize predictions and recommendations 
• Act as a resource to the Machine Learning team with regards to Data Lifecycle Management. 

Snowflake:

• Design scalable, reusable data models in Snowflake while aligning with Analytics architecture and deployment processes to ensure policy compliance 
• Experience in Implementing performance tuning and query optimization
• Experience in building customer facing products using “Data As a Service” concepts using REST API
• Experience in Dimension modeling to cater to self service reporting
• Experience in using snowflake connector from Databricks to read and write data from Snowflake.

Qualifications

To be successful in this role you have:

• Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar. Master’s degree preferred
• 8+ years of experience with suite of data warehouse technologies (Snowflake, Big Data , Python, Azure ML, Azure ADLS)
• Experience with Feature Engineering and Feature Lifecycle management for features used in ML models
• Experience with Data architecture , Data governance , Data quality , Data Security
• Expertise in SQL is a must – Minimum 5 yrs of SQL exp is desired
• Knowledge of Sales , Marketing , Customer , Product domain is a plus
• Expo