Apply for GenAI Data Scinece Job

6 to 8 Years Relevant Experience

• Analyze machine learning (ML) algorithms that could be used to address a given problem, and rank them by their likelihood of success based on data and problem constraints.
• Verify data quality and define pre-processing or feature engineering tasks for the given dataset to ensure the data is ready for modeling.
• Define validation strategies to evaluate the performance of the models effectively.
• Conduct thorough testing of developed applications, identify and fix any issues or bugs to ensure robust performance.
• Train ML models and fine-tune their hyperparameters to optimize performance.
• Deploy models to production environments, ensuring proper scalability and stability.
• Define and implement data augmentation pipelines to enhance training data and improve model generalization.
• Explore and visualize data to understand patterns, identify insights, and find suitable attributes that can be leveraged for model development.

Skills & Expertise

• Proven experience in AI/ML projects, with a strong track record of delivering impactful use cases.
• Proficient in visualizing and manipulating large datasets to uncover meaningful patterns and trends.
• Thorough understanding of various ML algorithms and their practical applications.
• Expertise with OpenCV for computer vision tasks and image processing.
• Demonstrated ability to adapt to new technologies and a strong drive to stay up-to-date with industry trends and innovations.
• Excellent communication and interpersonal skills, enabling effective collaboration with cross-functional teams and stakeholders.
• Strong problem-solving abilities with the capability to troubleshoot and resolve technical challenges efficiently.