Sr Data Scientist - AI

Company Overview 

With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.  

 At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. 

 Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you.   

We are seeking an experienced Machine Learning Engineer with a strong background in designing and implementing AI-driven applications using Google Cloud Platform (GCP). The ideal candidate will be proficient in data wrangling, feature engineering, developing models, and testing metrics. You will collaborate with cross-functional teams to design, develop, and deploy scalable, secure, and efficient AI-based applications that enhance business operations.

Responsibilities:
• Discover data sources, get access to them, import them, clean them up, and make them machine learning ready.
• Create and refine features from the underlying data and build pipelines to train and deploy models.
• Partner with product teams to understand, implement, refine, and design algorithms.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
• Implement cloud-native solutions using GCP services, ensuring scalability, security, and reliability.
• Design and manage backend services, databases, and APIs that support AI models and applications.
• Ensure best practices in cloud security and compliance are met in the design and implementation.
• Optimize AI-driven applications for performance and scalability.
• Troubleshoot, debug, and upgrade software systems.
• Work closely with DevOps teams to automate deployment processes and monitoring of AI/ML applications.

Basic Qualifications:
• Bachelor’s degree in data science, Computer Science, Engineering, or related field, or equivalent work experience.
• 3+ years of experience as a data scientist or machine learning engineer with proven track record of delivering functional product-oriented AI/ML solutions
• Proven experience delivering AI/ML applications in Google Cloud Platform (GCP) environments.
• Proficiency in GCP services, including: AI Platform, Cloud Functions, Cloud Run, BigQuery, Pub/Sub, Cloud Storage, Cloud SQL, Vertex AI
• Solid understanding of backend languages like Python, Node.js, or Java.
• Frontend development experience using React.js or Angular.
• Strong knowledge of APIs and RESTful services development and integration.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with CI/CD pipelines and Git-based version control.

Preferred Qualifications:
• Experience with GCP’s Cloud AI products, such as: AutoML, TensorFlow on GCP, Dataflow, Dialogflow (for chatbot and conversational AI).
• Experience with Cloud Dataproc for processing large datasets.
• Familiarity with Google Kubernetes Engine (GKE) for managing containerized AI applications.
• Experience with Google Cloud Monitoring and Logging for operational insights.
• Experience with MLOps practices for automating machine learning workflows.
• Familiarity with GraphQL.
• Understanding of big data tools like Apache Beam and Apache Kafka.

Where we’re going 

UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow!   

Equal Opportunity Employer    

Ultimate Kronos Group is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.      

View The EEO Know Your Rights poster and its supplement.      

View the Pay Transparency Nondiscrimination Provision     

UKG participates in E-Verify. View the E-Verify posters here.   

Disability Accommodation 

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.  

The pay range for this position is $112,300 to $156,000, however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. Information about UKG’s comprehensive benefits can be reviewed on our careers site at https://www.ukg.com/careers