Solution Architect for Generative AI
4 tygodni temu
SolutionArchitect for Generative AI (m/f/d)
Location:Poland
The Solution Architect for Generative AI will be part of a teamwhich designs, builds, and operates the AI services of Siemens Healthineers(SHS). The ideal candidate for this role will have experience with AI services.The role will require the candidate to develop and maintain artificialintelligence systems and applications that help businesses and organizationssolve complex problems.
The role also requires expertise in machine learning, deep learning,natural language processing, computer vision, and other AI technologies.
Task and Responsibilities:
Solution Architect for Generative AI isresponsible for designing, architecting, and development of AI product/service.The main responsibilities include:
Designing,developing, and deploying Azure-based AI solutions, including machine learningmodels, cognitive services, and data analytics solutions. Collaboratingwith cross-functional teams, such as data scientists, business analysts, anddevelopers, to design and implement AI solutions that meet businessrequirements. Buildingand training machine learning models using Azure Machine Learning, and tuningmodels for optimal performance. Developingand deploying custom AI models using Azure Cognitive Services, such as speechrecognition, language understanding, and computer vision. Creatingdata pipelines to collect, process, and prepare data for analysis and modelingusing Azure data services, such as Azure Data Factory and Azure Databricks. Implementingdata analytics solutions using Azure Synapse Analytics or other Azure dataservices. Deployingand managing Azure services and resources using Azure DevOps or otherdeployment tools. Monitoringand troubleshooting deployed solutions to ensure optimal performance andreliability. Ensuringcompliance with security and regulatory requirements related to AI solutions. Stayingup-to-date with the latest Azure AI technologies and industry developments, andsharing knowledge and best practices with the team.Qualifications:
·Overall 5+ years’ combined experiencein IT and recent 3 years as AI engineer.
·Bachelor's or master's degree incomputer science, information technology, or a related field.
·Experience in designing, developing,and delivering successful AI Services.
·Experience with cloud computingtechnologies, such Azure.
·Relevant industry certifications,such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc.is a plus.
·Excellent written and verbalcommunication skills to collaborate with cross-functional teams and communicatetechnical information to non-technical stakeholders
·Youare located in Poland
·Youare open to occasional business travels
·Yourbusiness-fluent English enables you to collaborate and communicate withcolleagues in an international environment
Technical skills :
Proficiency in programming languages: You should be proficient in programming language such as Python and R. Experience of Azure AI services: You should have experience with Azure AI services such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Data handling and processing: You should be proficient in data handling and processing techniques such as data cleaning, data normalization, and feature extraction. Knowledge of SQL, NoSQL, and big data technologies such as Hadoop and Spark are also beneficial. Experience with Cloud platform: You should have a good understanding of cloud computing concepts and experience working with Azure services such as containers, Kubernetes, Web Apps, Azure Front Door, CDN, Web Application firewalls etc. DevOps and CI/CD: You should be familiar with DevOps practices and CI/CD pipelines. This includes tools such as Azure DevOps & Git. Security and compliance: You should be aware of security and compliance considerations when building and deploying AI models in the cloud. This includes knowledge of Azure security services, compliance frameworks such as HIPAA and GDPR, and best practices for securing data and applications in the cloud. Machine learning algorithms and frameworks: Knowledge of machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn is a plus.Weoffer:
Exciting work in internationalcorporation You can work remotely/hybrid/in oneof our local offices We provide necessary toolsIf you are interested use the “Apply”button.
Our culture:
At Siemens Healthineers, we take into account different perspectives, areopen to dialogue and challenge conventions. Change is an integral part of ourwork. We strive to be a leader of change in our industry, not just to respondto them. We invite you to take on new challenges with us, test your ideas andcelebrate successes.
We highly value diversity, inclusion and equal opportunities, so wewarmly invite everyone, regardless of their gender identity, to apply for thisposition. We also encourage people with disabilities to apply.
Do you want to know more? Contact us.
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