"Alerted.org

Job Title, Industry, Employer
City & State or Zip Code
20 mi
  • 0 mi
  • 5 mi
  • 10 mi
  • 20 mi
  • 50 mi
  • 100 mi
Advanced Search

Advanced Search

Cancel
Remove
+ Add search criteria
City & State or Zip Code
20 mi
  • 0 mi
  • 5 mi
  • 10 mi
  • 20 mi
  • 50 mi
  • 100 mi
Related to

  • ML Engineer - Model Ops

    Capgemini (Seattle, WA)



    Apply Now

    Part of the Capgemini Group,

    Sogeti makes business value through technology for organizations that need to

    implement innovation at speed and want a local partner with global scale. With

    a hands-on culture and close proximity to its clients, Sogeti implements

    solutions that will help organizations work faster, better, and smarter. By

    combining its agility and speed of implementation through a DevOps approach,

    Sogeti delivers innovative solutions in quality engineering, cloud and

    application development, all driven by AI, data and automation.

     

    ML Engineer - Model Ops

    We are looking for someone to help us keep our machine learning models running

    smoothly in production. Your job will be to monitor for issues like model

    drift and data drift, ensure models stay accurate, and integrate

    tools like WhyLabs, Splunk, and Datadog

    What You Will Do:

    + Monitor machinelearning models for issues like data/model drift

    + Set uptools like WhyLabs, Splunk, and Datadog to track modelperformance

    + Work onthe full lifecycle of models, including deployment, monitoring, andretraining

    + Helpimprove how we manage and monitor data pipelines

    + Collaboratewith the team to make sure models stay accurate and useful

    What We are Looking For

    + Experiencemonitoring machine learning models in production

    + Knowledgeof tools like WhyLabs, Splunk, and Datadog

    + Familiaritywith AKS and Databricks

    + Understandingof how data moves through systems and how to keep it reliable

    + Comfortablewith Python or SQL for debugging and building workflows

    + Understandingof MLOps best practices.

    + Experiencewith cloud tools like Azure Cosmos DB

    + Familiaritywith integrating models into BI tools for reporting.

     

    Apply online: https://career.us.sogeti.com/jobs/faces/home?jobId=14826

     

    Education: Bachelor's or

    Master's degree in Computer Science, Software Engineering, or a related field.

     

    Life at Sogeti - We support

    all aspects of your well-being throughout the changing stages of your life and

    career. For eligible employees, we offer:

     

    + Flexiblework

    + Healthcareincluding dental, vision, mental health, and well-being programs

    + Financialwell-being programs such as 401(k) (matched 150% up to 6%) and EmployeeShare Ownership Plan

    + 100%Company-paid mobile phone plan

    + 3 weeksPersonal Time Off (PTO) and 7 Paid Holidays

    + Paidparental leave

    + Familybuilding benefits like adoption assistance, surrogacy, andcryopreservation

    + Socialwell-being benefits like subsidized back-up child/elder care and tutoring

    + Mentoring,coaching and learning programs

    + ContinuingEducation: $5,200 Annual Tuition Reimbursement plus access to over 20,000online courses and certifications through Capgemini University, as well asCoursera and Degreed.

    + Programsfor Counseling, Support, Health and Fitness perks, Auto discounts andmuch, much more!

    + EmployeeResource Groups

    + DisasterRelief

    Disclaimer - Capgemini is an

    Equal Opportunity Employer encouraging diversity in the workplace. All

    qualified applicants will receive consideration for employment without regard

    to race, national origin, gender identity/expression, age, religion, disability,

    sexual orientation, genetics, veteran status, marital status or any other

    characteristic protected by law.

     

    Please be aware that

    Capgemini may capture your image (video or screenshot) during the interview

    process and that image may be used for verification, including during the

    hiring and onboarding process.

     

    This is a general description

    of the Duties, Responsibilities and Qualifications required for this position.

    Physical, mental, sensory or environmental demands may be referenced in an

    attempt to communicate the manner in which this position traditionally is

    performed. Whenever necessary to provide individuals with disabilities an equal

    employment opportunity, Capgemini will consider reasonable accommodations that

    might involve varying job requirements and/or changing the way this job is

    performed, provided that such accommodations do not pose an undue hardship.

    Capgemini is committed to

    providing reasonable accommodations during our recruitment process. If you need

    assistance or accommodation, please reach out to your recruiting contact. Click

    the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law .

     

    Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

     


    Apply Now



Recent Searches

[X] Clear History

Recent Jobs

  • ML Engineer - Model Ops
    Capgemini (Seattle, WA)
[X] Clear History

Account Login

Cancel
 
Forgot your password?

Not a member? Sign up

Sign Up

Cancel
 

Already have an account? Log in
Forgot your password?

Forgot your password?

Cancel
 
Enter the email associated with your account.

Already have an account? Sign in
Not a member? Sign up

© 2025 Alerted.org