Job Title:
Machine Learning Systems Developer
We are seeking an experienced Machine Learning Systems Developer to join our team.
The successful candidate will have a strong background in machine learning, experience with AWS services, and excellent problem-solving skills.
- Design, build, test, and deploy scalable machine learning systems optimizing model accuracy and efficiency.
- Develop and implement machine learning algorithms and statistical models using modern frameworks.
- Prepare, cleanse, and transform data for model training and evaluation.
- Integrate models into existing systems and workflows.
- Deploy models to production environments and monitor performance.
- Collaborate closely with data scientists, software engineers, and other stakeholders.
Key Requirements:
- 6-12 years of experience in machine learning engineering.
- Strong knowledge of AWS services, including Amazon SageMaker, S3, EC2, Lambda, and Redshift.
- Familiarity with containerization and orchestration using Docker and Kubernetes.
- Experience with MLOps and deploying ML models to production environments.
Benefits:
This is a great opportunity to work on challenging projects and develop your skills in machine learning.