🛠 Tech Stack

💼 About This Role

You'll join the AI & Data Engineering team to develop and deploy advanced machine learning models. You'll drive data-driven decision-making through statistical analysis and forecasting. This hybrid role offers the chance to work with cutting-edge tools like KubeFlow and BentoML.

🎯 What You'll Do

• Develop and deploy machine learning models using TensorFlow or PyTorch
• Perform statistical analysis and hypothesis testing
• Implement forecasting models for time-series data
• Collaborate with teams on AI pipeline integration

📋 Requirements

• Python/PySpark and SAS/SPSS proficiency
• Hypothesis testing (T-test, Z-test) experience
• Regression (Linear, Logistic) and Classification (Decision Trees, SVM) skills
• ML frameworks like TensorFlow, PyTorch, or Keras

✨ Nice to Have

• Experience with Probabilistic Graph Models
• Familiarity with KubeFlow or BentoML
• Knowledge of Evidently AI or Great Expectation