Machine Learning Expert
1 week ago
The SysMind Tech team is seeking a skilled Machine Learning Engineer to join our data science products development. The ideal candidate will have prior experience as an ML engineer or software engineer with data science products, demonstrated expertise in Python and code optimization, and experience in developing/implementing SW requirements. Additional skills include developing and testing system code using standard Software Development practices for predictive analytics data science models, and developing inference codes and implementing standard code maintenance, optimization strategies including data quality checks, and error handling. This role also involves developing standardized unit and regression test plans for inference code, developing data science model monitoring capabilities for data and model quality, bias and feature attribution drift, and triage product issues - debug, track and resolve by analyzing root-cause including any data fetch, code troubleshooting and develop automation as required.
Estimated Salary: $120,000 - $180,000 per year
About the Role:
As a Machine Learning Expert at SysMind Tech, you will play a key role in developing and implementing machine learning models that drive business value. Your responsibilities will include developing and deploying predictive analytics solutions, working closely with cross-functional teams to design and implement data pipelines, and collaborating with stakeholders to understand business needs and translate them into actionable insights. You will also be responsible for maintaining and optimizing existing machine learning models, identifying areas for improvement, and implementing changes as needed. Additionally, you will contribute to the development of new features and tools to enhance the overall customer experience.
About Us:
SysMind Tech is a leading technology company that specializes in data science and artificial intelligence solutions. We are dedicated to helping businesses make data-driven decisions and stay ahead of the competition. Our team is passionate about innovation and collaboration, and we are committed to creating a work environment that is inclusive, diverse, and rewarding.
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