Algorithm Development: Craft and refine machine learning algorithms that meet our strategic objectives, turning complex problems into elegant solutions.
Model Deployment & Management: Take charge of deploying, managing, and optimizing ML models in production, ensuring high availability and performance through proactive monitoring and efficient troubleshooting.
System Integration: Collaborate intimately with our software engineering teams to seamlessly integrate ML models into our broader application ecosystem, enhancing functionality and user experience.
Technical Innovation: Engage with containerization and orchestration technologies to streamline and secure the deployment of our machine learning models, ensuring they are both scalable and maintainable.
Minimum Qualification
At least 2 years of professional software engineering experience, excluding internships.
A minimum of 1 year of experience in system design or architecture, with a focus on design patterns, system reliability, and scalability.
Proficiency in at least one modern programming language.
Solid background in machine learning, data mining, information retrieval, statistics, or natural language processing.
Practical experience with major public cloud services, such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
Proven ability to troubleshoot and debug complex technical systems.
A Bachelor’s degree in Computer Science, or a related field, or equivalent practical experience.
Preferred Qualifications
A strong foundation in data structures and algorithms.
Exceptional coding and problem-solving skills.
Excellent communication skills, both written and verbal, capable of conveying complex ideas and solutions clearly to a diverse audience.
How We Hire
Applicatioin Process : Apply > Online Fit Interview > On - site Technical Interview > Compensation Discussion > Welcome aboard !
How to Apply : Email your resume to hr@sorcerics.com with the subject line : " [Position you're Applying For] - [Your Name] "
ML Engineer
Seoul, Korea | Full - Time
Role Respon-
sibilities
Algorithm Development: Craft and refine machine learning algorithms that meet our strategic objectives, turning complex problems into elegant solutions.
Model Deployment & Management: Take charge of deploying, managing, and optimizing ML models in production, ensuring high availability and performance through proactive monitoring and efficient troubleshooting.
System Integration: Collaborate intimately with our software engineering teams to seamlessly integrate ML models into our broader application ecosystem, enhancing functionality and user experience.
Technical Innovation: Engage with containerization and orchestration technologies to streamline and secure the deployment of our machine learning models, ensuring they are both scalable and maintainable.
Minimum Qualifi-cation
At least 2 years of professional software engineering experience, excluding internships.
A minimum of 1 year of experience in system design or architecture, with a focus on design patterns, system reliability, and scalability.
Proficiency in at least one modern programming language.
Solid background in machine learning, data mining, information retrieval, statistics, or natural language processing.
Practical experience with major public cloud services, such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
Proven ability to troubleshoot and debug complex technical systems.
A Bachelor’s degree in Computer Science, or a related field, or equivalent practical experience.
Preferred Qualifi-
cations
A strong foundation in data structures and algorithms.
exceptional coding and problem-solving skills.
Excellent communication skills, both written and verbal, capable of conveying complex ideas and solutions clearly to a diverse audience.
How We
Hire
Applicatioin Process : Apply > Online Fit Interview > On - site Technical Interview > Compensation Discussion > Welcome aboard
How to Apply : Email your resume to contact@sorcerics.com with the subject line : " [Position you're Applying For] - [Your Name] "
