Roles and Responsibilities

• Develop and manage end-to-end AI/ML workflows using DataRobot platform capabilities.
• Upload, prepare, and analyze large datasets for model training and evaluation.
• Interpret and validate model outputs, insights, and performance metrics.
• Integrate DataRobot models and predictions with business applications via APIs.
• Collaborate with data engineers, analysts, and business stakeholders to translate business problems into predictive modeling solutions.
• Monitor deployed models for drift, performance, and impact, and retrain as needed.
• Leverage DataRobot’s automation capabilities to streamline and scale modeling eAorts.
• Contribute to model governance, explainability, and documentation practices.

Required Qualifications / Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 2+ years of hands-on experience using DataRobot in production environments.
• Strong foundation in machine learning, data analysis, and statistical modeling.
• Proficiency with data handling tools like Python, SQL, or R.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data storage solutions.
• Experience working with APIs and integrating ML outputs into production systems.
• Solid understanding of MLOps practices and model lifecycle management.
• DataRobot certification(s) or completion of oAicial training programs.
• Familiarity with automated feature engineering and explainable AI (XAI).
  
  “By proceeding with the job application, you are deemed to have read and acknowledged our Job Applicant Privacy Policy and consented to us using the personal data you shared for the purpose stated in the said policy.”