Description

In this role, you will design and implement cutting-edge AI solutions on Azure, develop machine learning models, and collaborate with cross-functional teams to deliver secure, end-to-end AI applications that meet client needs and adhere to best practices.

Requirements

• •5+ years of hands-on experience in AI/ML engineering or data science roles
• •Fluency in German and English
• •Strong experience with the Azure AI/Data ecosystem
• •Experience using Azure AI Foundry for building LLM-based applications
• •Proficiency in Python and common ML/DL libraries
• •Practical understanding of MLOps and model lifecycle management
• •Exposure to Large Language Models or other generative AI technologies
• •Strong problem-solving skills and good communication skills
• •Azure and data/AI certifications are highly regarded
• •Bachelor’s degree in Computer Science, Engineering, or related field

Tasks

• •Design and implement end-to-end AI solutions on Azure
• •Develop machine learning models, including predictive algorithms and classification
• •Integrate machine learning models into cloud applications
• •Write code in Python to build and train models
• •Leverage Azure Machine Learning and Azure Databricks for model development
• •Build and deploy intelligent applications using Azure AI Foundry
• •Implement GenAI workflows independently using Foundry
• •Develop Generative AI solutions for clients
• •Experiment with large language model applications using Azure OpenAI Service
• •Build conversational agents and summarization services using frameworks like LangChain
• •Ensure robust prompt engineering and fine-tuning of models
• •Utilize Azure Cognitive Services to accelerate solution development
• •Integrate Azure Cognitive Search for semantic search capabilities
• •Combine Azure services with custom ML to meet client needs
• •Deploy and operationalize ML models effectively
• •Containerize models and set up CI/CD pipelines for automated deployment
• •Implement monitoring for model performance drift
• •Collaborate with Data Engineers to ensure data availability and reliability
• •Contribute to data pipeline design for machine learning
• •Collaborate with Solution Architects to translate designs into implementation tasks
• •Participate in code reviews and knowledge sharing within the team
• •Support client teams in adopting AI solutions
• •Prepare technical documentation and demo functionalities to stakeholders
• •Iterate on models based on user feedback and changing requirements

Tools & Technologies

Benefits