Senior Microsoft Azure AIML Architect (mwd)

Qualifications :

• Proven Experience : 7 years of experience in data analytics and software development with at least 45 years in designing and implementing ML / AI solutions at scale. A track record of delivering production-grade AI projects for enterprise clients is essential (this is a senior role and not suitable for junior candidates ).
• Language Skills :  fluent in german and english
• Azure Expertise : Deep hands-on knowledge of Azure data and AI services including Azure Machine Learning Azure Databricks Azure Data Lake / Synapse Azure Cognitive Services (Text Vision Speech) Azure OpenAI and Azure AI Foundry. Ability to architect solutions that leverage these services cohesively.
• Architectural Skills : Strong skills in system design and integration. Comfortable defining solution architectures that encompass data ingestion feature engineering model training deployment (APIs containers) and monitoring. Familiarity with designing microservices or cloud data pipelines is a plus.
• MLOps & Software Engineering : Solid understanding of MLOps principles and experience implementing ML lifecycle management (source control CI / CD for models model registries etc.) on Azure or similar platforms. Proficiency in Python and common ML frameworks (scikit-learn TensorFlow / PyTorch) and experience with code review and DevOps processes.
• Leadership & Communication : Excellent leadership and interpersonal skills. Able to interface with client stakeholders to explain complex AI concepts in business terms gather requirements and drive adoption. Experience leading technical teams or mentoring engineers in a project setting.
• AI Knowledge : Broad knowledge of machine learning and AI techniques (supervised unsupervised learning time-series etc.) and familiarity with deep learning and NLP. Exposure to Generative AI and LLMs is highly desired you should understand concepts like prompt engineering and have curiosity about applying these in enterprise scenarios. Deep understanding of Azure AI Foundry concepts (e.g. grounding orchestration Azure Agents) and ability to evaluate where it fits in a solution landscape.
• Certifications : Relevant certifications are a strong plus demonstrating your expertise in Azure and AI. Examples include Microsoft Certified : Azure Solutions Architect Expert and Azure AI Engineer Associate (AI-102). Certification in machine learning frameworks or platforms (e.g. Databricks Certified Generative AI Engineer Associate ) is also valued. Devoteam supports continuous learning and certification attainment.
• Education : A Bachelors or Masters degree in Computer Science Data Science or related field is preferred (or equivalent professional experience).

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

Apache Hive,S3,Redshift,Spark,AWS,Solr,NoSQL,Data Warehouse,Internet Of Things,Kafka,DynamoDB,ZooKeeper

Experience : years

Vacancy : 1