🛠 Tech Stack

💼 About This Role

You'll develop AI/ML models and data pipelines for a global technology team. Your work will drive predictive analytics and automated decision-making across business units.

🎯 What You'll Do

• Build and deploy **ML models** using TensorFlow, PyTorch, or similar frameworks.
• Develop **data pipelines** for feature engineering and model training.
• Conduct **statistical analysis** (hypothesis testing, regression) to validate models.
• Monitor and maintain **model performance** in production using Evidently AI.

📋 Requirements

• 5+ years in AI/ML engineering or data science roles.
• Proficiency in Python/PySpark and ML frameworks like TensorFlow or PyTorch.
• Experience with statistical methods (hypothesis testing, regression, forecasting).
• Hands-on with MLOps tools (Kubeflow, BentoML, Great Expectations).

✨ Nice to Have

• Experience with Agentic AI or autonomous agents.
• Knowledge of probabilistic graphical models.
• Familiarity with SAS/SPSS or R.

🚩 Heads Up

• Role title mentions 'Senior AI/ML Engineer' but description and required skills lean heavily toward data science/statistics.
• List of required tools is extremely broad (13+ technologies), potentially unrealistic.