"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

  • Fssbu - AWS Bedrock Developer - D1 - VAN

    Capgemini (New York, NY)



    Apply Now

    FSSBU - AWS Bedrock Developer - D1 - VAN

     

    Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

    Job Description

    We are looking for a highly skilled AWS SageMaker & Bedrock Developer to design, develop, and deploy AI/ML solutions using Amazon’s cutting-edge machine learning services. The ideal candidate will have hands-on experience with Amazon SageMaker, Amazon Bedrock, Amazon JumpStart, and Python, and will be responsible for building scalable and efficient ML workflows.

    Key Responsibilities:

    - Model Development & Deployment Build, train, and deploy machine learning models using Amazon SageMaker.

     

    - Generative AI Integration: Leverage Amazon Bedrock to integrate foundation models (FMs) into applications for generative AI use cases.

     

    - Solution Prototyping: Utilize Amazon JumpStart to quickly prototype and test pre-trained models and solutions.

     

    - Automation & Scripting: Develop Python scripts for data preprocessing, model training, evaluation, and deployment automation.

     

    - Performance Optimization: Monitor and optimize model performance, cost, and scalability in production environments.

     

    - Collaboration: Work closely with data scientists, ML engineers, and product teams to translate business requirements into ML solutions.

    Qualifications:

    - Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

     

    - 3+ years of experience in machine learning and cloud-based AI development.

     

    - Strong hands-on experience with Amazon SageMaker, Amazon Bedrock, and Amazon JumpStart.

     

    - Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch.

     

    - Familiarity with AWS services like Lambda, S3, IAM, and CloudWatch.

     

    - Excellent problem-solving and communication skills.

     

    Life at Capgemini

     

    Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

     

    Flexible work

     

    Healthcare including dental, vision, mental health, and well-being programs

     

    Financial well-being programs such as 401(k) and Employee Share Ownership Plan

     

    Paid time off and paid holidays

     

    Paid parental leave

     

    Family building benefits like adoption assistance, surrogacy, and cryopreservation

     

    Social well-being benefits like subsidized back-up child/elder care and tutoring

     

    Mentoring, coaching and learning programs

     

    Employee Resource Groups

     

    Disaster Relief

     

    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.

     

    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 get in touch with your recruiting contact.

     

    Click the following link for more information on your rights as an Applicant

     

    Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

     

    Ref. code: 244747

     

    Posted on: May 29, 2025

     

    Experience Level: Experienced Professionals

     

    Contract Type: Permanent

    Location:

    New York, US

     

    Brand: Capgemini

     

    Professional Community: Data & AI

     

    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.

     


    Apply Now



Recent Searches

  • Physical Therapist St Croix (Wisconsin)
  • Field Diesel Mechanic (Connecticut)
  • Invoice Analyst Hourly Support (United States)
  • QA Documentation Clerk (United States)
[X] Clear History

Recent Jobs

  • Fssbu - AWS Bedrock Developer - D1 - VAN
    Capgemini (New York, NY)
[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