As an AI/ML Engineer, you will design, develop, and deploy AI/ML models, manage data pipelines, and optimize workflows. Youll leverage cloud platforms for model training, deployment, and monitoring while automating processes with CI/CD pipelines. Containerizing applications and ensuring scalable, reliable deployments will be key, along with monitoring model performance. Strong communication skills are essential to present insights to both technical and non-technical teams.

You might be the perfect match, if you have/are:

• 4+ years of experience in a similar role
• Experience with AI as well as more traditional machine learning workflows using frameworks like TensorFlow, PyTorch, or Scikit-learn
• Experience with Azure Machine Learning (AML) for training, deploying, and managing AI models
• Experience in data preprocessing, data engineering and feature engineering for AI/ML pipelines (e.g. Databricks)
• Experience in creating CI/CD pipelines for ML models (Azure DevOps, MLOps practices) as well as containerization for AI applications (Docker, Kubernetes, AKS)
• Proficiency in Python for AI model development and automation
• Have experience in model performance monitoring and logging (Azure Monitor, Application Insights, ML model metrics)