Sr Data Scientist - AI

UKG

4.7

(113)

Multiple Locations

Why you should apply for a job to UKG:

  • Ranked as one of the Best Companies for Women in 2023
  • 4.7/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 95% say women are treated fairly and equally to men
  • 99% would recommend this company to other women
  • 94% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Paid leave for new and adoptive parents, medical coverage for IVF services & reimbursement to help offset adoption and surrogacy expenses.
  • 45% company match on total employee 401(k) contributions up to the IRS annual limit.
  • Unlimited paid time off for you to rest, re-charge, and pursue your personal aspirations.
  • #893378763106

    Position summary

    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.

    Job Description:
    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.

    This person would work hybrid out of any of our following offices:

    Weston | Weston, FL, USA

    MA Lowell | Lowell, MA, USA

    Alpharetta | Alpharetta, GA, USA

    GA-Atlanta | Atlanta, GA , USA

    Maitland | Maitland, FL, USA

    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.

    Soft Skills:
    • Excellent problem-solving skills and attention to detail.
    • Ability to work effectively in a collaborative, fast-paced environment.
    • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
    • Agile mindset with a focus on continuous improvement and learning

    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 [email protected].

    The pay range for this position is $112,300 to $156,700, 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://https://www.ukg.com/careers

    Why you should apply for a job to UKG:

  • Ranked as one of the Best Companies for Women in 2023
  • 4.7/5 in overall job satisfaction
  • 4.8/5 in supportive management
  • 95% say women are treated fairly and equally to men
  • 99% would recommend this company to other women
  • 94% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Paid leave for new and adoptive parents, medical coverage for IVF services & reimbursement to help offset adoption and surrogacy expenses.
  • 45% company match on total employee 401(k) contributions up to the IRS annual limit.
  • Unlimited paid time off for you to rest, re-charge, and pursue your personal aspirations.