Capgemini is looking to help its clients unlock the value of technology and build a more sustainable, more inclusive world by leveraging AI and cloud technologies.
Requirements
- Proficiency in AWS services, including Amazon SageMaker, Amazon Bedrock.
- Strong programming skills in Python, Java, or other relevant languages.
- Familiarity with cloud architecture and deployment strategies.
- Experience with Prompt Engineering, etc.
- Experience with AWS AI and ML services, including Amazon Comprehend, and Amazon Lex, etc.
- Knowledge of data engineering and ETL processes.
- Experience with containerization technologies such as Docker and Kubernetes.
Responsibilities
- Develop and deploy AI/ML models using AWS services such as Amazon SageMaker and Amazon Bedrock.
- Apply prompt engineering techniques to optimize generative AI performance.
- Collaborate with cross-functional teams to integrate AI capabilities into business applications.
- Design and implement cloud-native solutions with scalable architecture.
- Write clean, efficient code in Python, Java, or other relevant languages.
- Communicate technical concepts clearly across teams and stakeholders.
Other
- 2-3 years of experience in software development, with a focus on AI and machine learning.
- Strong communication skills, both written and verbal.
- Understanding of data privacy and security best practices
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
