Title: AWS Infrastructure Engineer for Generative AI Solutions
Locations: Jersey City NJ, Hartford CT, Chicago IL, or Atlanta GA
Responsibilities:
1. Design and build fault-tolerant infrastructure to support the Generative AI Ref architecture (RAG, Summarization, Agent etc).
2. Ensure code is delivered without vulnerabilities by enforcing engineering practices, code scanning, etc.
3. Build and maintain IAC (terraform/Cloud Formation), CICD (Jenkins) scripts, CodePipeline, uDeploy, & GitHub Actions.
Qualifications:
1. Bachelor’s degree in Computer Science, Computer Engineering, or a technical field.
2. 4+ years of experience with AWS cloud.
3. At least 8 years of experience designing and building data-intensive solutions using distributed computing.
4. 8+ years building and shipping software and/or platform infrastructure solutions for enterprises.
5. Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing and Integration Testing tools.
6. Experience with building scalable serverless application (real-time / batch) on AWS stack (Lambda + step function)
7. Knowledge of distributed NoSQL database systems.
8. Experience with AWS OpenSearch, Step/Lambda Functions, SageMaker, API Gateways, ECS/Docker is a plus.
9. Experience with CI/CD pipelines, Automated Testing, Automated Deployments, Agile methodologies, Unit Testing, and Integration Testing tools.
10. Excellent problem-solving skills and the ability to work in a collaborative team environment.
11. Excellent communication skills.
Nice to have
Design and build the Data ingestion pipeline for Finetuning LLM Models.
Build a feedback system using HITL for Supervised finetuning.
ML Ops (Machine Learning Operations)
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:
About Capgemini
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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
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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 reach out to your recruiting contact.
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