We are seeking a Machine Learning Engineer to build, deploy, and support production ML and generative AI solutions in a cloud-based enterprise environment. This role focuses on developing end-to-end ML pipelines and deploying models using AWS, including Amazon SageMaker and AWS GenAI services, to support scalable and reliable systems.
Qualifications
- 3–5 years of experience in machine learning or applied data science
- Master’s degree in a quantitative field
- Strong Python skills and experience with large datasets
- Experience with model training, evaluation, monitoring, and deployment
- Hands-on experience with AWS SageMaker and familiarity with AWS GenAI
Key Responsibilities
- Deploy and maintain ML and GenAI models in production on AWS
- Build and support ML pipelines and inference workflows
- Monitor performance and improve existing ML systems
