
Artificial Intelligence Model Architect
1 day ago
The role of a Machine Learning Engineer is to play a pivotal part in the development and deployment of sophisticated predictive models across diverse cloud environments.
Key Responsibilities:- Design, implement, and maintain machine learning pipelines utilizing AWS services such as SageMaker, Fargate, and Bedrock.
- Apply advanced prompt engineering techniques to enhance GenAI model performance and reliability.
- Collaborate with internal teams to develop and maintain scalable model-serving platforms.
- Implement containerized services using Docker and deploy them to AWS infrastructure.
- 3-5 years of experience in strong programming skills in Python, with expertise in pandas, SQL, and ML frameworks (e.g., scikit-learn).
- Proven track record of leveraging Python for machine learning applications, including model building, training, and maintenance.
- Familiarity with AWS services like Lambda, Glue, CloudWatch, and Bedrock.
- Experience with container workflows (Docker) and model lifecycle management.
We Offer:
- A collaborative work environment.
- Ongoing training and professional development opportunities.
- A competitive compensation package.
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