The ideal candidate is passionate about data, machine learning, scale, and delivering production-ready AI solutions. You will use your strong analytical mindset and collaboration skills to solve complex business problems, build scalable ML systems, and drive data-driven decision making.
Responsibilities
Analyze and preprocess raw data by assessing quality, cleaning, and structuring it for modeling
Develop and deploy machine learning models for regression, classification, clustering, forecasting, and recommendations
Design scalable and accurate predictive algorithms using advanced ML techniques
Collaborate with engineering teams to productionize ML models via APIs and Docker
Build and maintain CI/CD pipelines and MLOps workflows for continuous delivery
Monitor model performance, detect drift, and implement retraining strategies
Generate actionable insights to improve business outcomes
Qualifications
Bachelor’s degree or equivalent experience in Statistics, ...