Description

You develop and deploy AI/ML models on Azure, ensuring data quality and compliance. Your role involves collaboration, experimentation, and implementing MLOps practices to improve model performance and maintainability.

Requirements

• •3–6 years of experience in AI development
• •Fluent in German and English
• •Proficient in Python programming
• •Familiarity with R or C# is a plus
• •Solid understanding of machine learning algorithms
• •Experience with Scikit-learn framework
• •Exposure to TensorFlow or PyTorch is nice to have
• •Hands-on experience with Azure cloud services
• •Experience with Azure Machine Learning
• •Experience with Azure Databricks or HDInsight
• •Experience with Azure Cognitive Services is advantageous
• •Comfortable working with databases and SQL
• •Experience in handling data pipelines or ETL
• •Knowledge of Azure Data Factory is a plus
• •Exposure to Azure AI Foundry is a plus
• •Strong analytical thinking and problem-solving ability
• •Good communication and teamwork skills
• •Proactive about learning new tools and techniques
• •Bachelor’s degree in Computer Science or related field
• •Willingness to pursue relevant certifications

Tasks

• •Develop and implement AI/ML models.
• •Train predictive models for business problems.
• •Create natural language solutions like chatbots.
• •Use Azure Machine Learning for model management.
• •Deploy AI solutions on Azure cloud infrastructure.
• •Set up Azure ML workspaces and pipelines.
• •Ensure compliance with security guidelines.
• •Gather and prepare datasets for machine learning.
• •Contribute to data preprocessing and transformation.
• •Define features and handle data quality issues.
• •Utilize PySpark and SparkSQL for data processing.
• •Conduct experiments to improve model performance.
• •Tune hyperparameters and evaluate model results.
• •Leverage Azure ML pipelines for automation.
• •Incorporate Azure Cognitive Services into solutions.
• •Implement MLOps for model registration and deployment.
• •Set up monitoring for system performance and accuracy.
• •Collaborate with cross-functional teams on projects.
• •Document work for maintainability and knowledge transfer.

Tools & Technologies

Benefits