Machine Learning Engineer

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.
• Abili...