Microsoft Azure AI Engineer (mwd)

Qualifications :

• Experience : Approximately 36 years of experience developing AI or machine learning solutions. You should have real-world project experience beyond internships for example having built predictive models or data-driven applications that were deployed or used in a production environment.
• Language Skills :   fluent in german and english
• Technical Skills : Proficient in programming (Python required; familiarity with another language like R or C# is a plus). Solid understanding of machine learning algorithms and workflows (data preprocessing feature selection model training evaluation). Experience with frameworks such as Scikit-learn; exposure to deep learning frameworks (TensorFlow PyTorch) is nice to have.
• Azure Familiarity : Hands-on experience with Azure cloud services especially those relevant to data and AI. This could include having used Azure Machine Learning for training / deploying models Azure Databricks or HDInsight for big data and Azure Storage / Azure SQL for data. If you have experience with Azure Cognitive Services or Azure OpenAI mention it its advantageous as we frequently use these in projects.
• Data Engineering Basics : Comfortable working with databases and writing SQL. Experience in handling data pipelines or ETL processes is important since ML engineers in our team often need to fetch and prepare data. Knowledge of Azure Data Factory or Synapse pipelines is a plus.
• Azure AI Foundry : Exposure to Azure AI Foundry is a plus.
• Problem Solving : Strong analytical thinking and problem-solving ability in the context of debugging models and data issues. For example you should be able to investigate why a model is underperforming (inspecting data imbalance feature issues etc.) or why a pipeline failed and then propose fixes.
• Team Player : Good communication and teamwork skills. Youll be part of an agile project team so being able to discuss ideas ask questions and share findings with colleagues (developers architects project managers) is key. Ability to clearly document and explain your work to others (including client technical teams) is required.
• Continuous Learner : Given that Devoteam is building up its AI capabilities we value engineers who are proactive about learning new tools and techniques. You should demonstrate an interest in staying up-to-date with AI innovations (for instance new developments in LLM frameworks or MLOps tools ). We encourage and support learning so a mindset of continuous improvement will fit well here.
• Education & Certification : Bachelors degree in Computer Science Engineering Mathematics or related lieu of a degree substantial relevant experience will be considered. Certifications like Azure AI Engineer Associate (AI-102) or Azure Data Engineer show your commitment to excellence and are a plus if you havent obtained them yet you should be willing to pursue certification with our support. Any certification or coursework in data science / ML (e.g. Microsoft DP-100 exam or Databricks ML certificates) is also beneficial.

Zusätzliche Informationen :

You will be part of a collaborative remote-friendly team that values continuous learning and

delivering impact through modern cloud-native data solutions.

Remote Work : No

Employment Type : Full-time

Key Skills

Client Server,Abinitio,Acting,Accounts Assistant Credit Control,Light Bus And Heavy Bus,Dns

Experience : years

Vacancy : 1