Key Responsibilities:
- Design and implement robust data pipelines to support the lifecycle of machine learning models from data collection, processing, training, and deployment.
- Optimize machine learning code for performance and scalability, ensuring models are efficient and effective.
- Develop and maintain deployment scripts to automate the deployment process of machine learning models across various environments.
- Lead the deployment of machine learning models, ensuring they are successfully integrated into production systems.
- Collaborate with cross-functional teams on AI projects, contributing technical expertise to achieve project objectives.
- Leverage AWS ecosystem and services optimally for deploying, monitoring, and managing machine learning models and data science projects.
- Ensure best practices in data science and MLOps are applied throughout the project lifecycle to achieve high-quality outcomes.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Proven experience in building data pipelines for machine learning models.
- Strong experience in optimizing machine learning model code for performance.
- Solid experience in writing and managing deployment scripts for machine learning models.
- Demonstrated experience in deploying machine learning models into production environments.
- Experience working on AI projects, with a thorough understanding of machine learning concepts and applications.
- Preferred experience with AWS ecosystem and services related to data sciences (e.g., AWS Sagemaker, AWS Lambda, AWS Glue, etc.).
- Basic knowledge of data sciences and familiarity with machine learning algorithms and their applications.
Skills and Abilities:
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Ability to work in a fast-paced and dynamic environment, managing multiple projects simultaneously.
Job Types: Full-time, Contract
Pay: $70.00 - $80.00 per hour
Experience level:
Schedule:
Application Question(s):
- Work authorization in USA (EAD/USC/GC)
Work Location: Remote