
Machine Learning Architect
11 hours ago
Job Overview
We are seeking a skilled Machine Learning Architect to join our team.
About the Role:
- Design, develop and deploy scalable machine learning models using AWS SageMaker.
- Collaborate with cross-functional teams to design and implement machine learning solutions that meet business requirements.
- Develop and maintain high-quality machine learning pipelines using SageMaker Pipelines.
- Manage and govern machine learning endpoints, hosting, and feature management using SageMaker Feature Store.
Key Responsibilities:
- Migrate ML workflows to AWS SageMaker and automate the model deployment process.
- Develop and implement advanced technologies like Python, Terraform, and SageMaker to streamline ML workflows and enhance model performance.
- Collaborate with data science and DevOps teams across ML Ops to ensure seamless integration and efficient delivery of ML solutions.
- Continuously monitor and improve the quality and reliability of machine learning models and pipelines.
Requirements:
- AWS (Machine Learning at scale).
- Python (Advanced scripting & automation).
- Terraform (Infrastructure as Code for ML pipelines & endpoints).
- SageMaker (Full lifecycle: build, deploy, monitor).
Desired Skills:
- Deep Learning.
- Cloud Computing.
- DevOps.
Working Environment:
You will be working in a dynamic environment with a talented team of engineers, scientists, and product managers.
About Us
We strive to create a work environment that is inclusive, diverse, and supportive. We believe in promoting professional growth and development, providing opportunities for learning and innovation, and fostering a culture of creativity and collaboration.
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