Solution Architect for Generative AI

4 dni temu

Warszawa, Mazovia, Polska TN Poland Pełny etat

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Solution Architect for Generative AI (f/m/d), Warsaw

Client:

Location:

Warsaw, Poland

Job Category:

Other

EU work permit required:

Yes

Job Reference:

3f024252aede

Job Views:Posted:Expiry Date:

17.05.2025

Job Description:

Solution Architect for Generative AI (m/f/d)

Location: Poland

The Solution Architect for Generative AI will be part of a team which 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 artificial intelligence systems and applications that help businesses and organizations solve complex problems.

The role also requires expertise in machine learning, deep learning, natural language processing, computer vision, and other AI technologies.

Task and Responsibilities:

The Solution Architect for Generative AI is responsible for designing, architecting, and developing AI product/service. The main responsibilities include:

  • Designing, developing, and deploying Azure-based AI solutions, including machine learning models, cognitive services, and data analytics solutions.
  • Collaborating with cross-functional teams, such as data scientists, business analysts, and developers, to design and implement AI solutions that meet business requirements.
  • Building and training machine learning models using Azure Machine Learning, and tuning models for optimal performance.
  • Developing and deploying custom AI models using Azure Cognitive Services, such as speech recognition, language understanding, and computer vision.
  • Creating data pipelines to collect, process, and prepare data for analysis and modeling using Azure data services, such as Azure Data Factory and Azure Databricks.
  • Implementing data analytics solutions using Azure Synapse Analytics or other Azure data services.
  • Deploying and managing Azure services and resources using Azure DevOps or other deployment tools.
  • Monitoring and troubleshooting deployed solutions to ensure optimal performance and reliability.
  • Ensuring compliance with security and regulatory requirements related to AI solutions.
  • Staying up-to-date with the latest Azure AI technologies and industry developments, and sharing knowledge and best practices with the team.

Qualifications:

· Overall 5+ years' combined experience in IT and recent 3 years as AI engineer.

· Bachelor's or master's degree in computer science, information technology, or a related field.

· Experience in designing, developing, and delivering successful AI Services.

· Experience with cloud computing technologies, such as Azure.

· Relevant industry certifications, such as Microsoft Certified: Azure AI Engineer, Azure Solution Architect etc. is a plus.

· Excellent written and verbal communication skills to collaborate with cross-functional teams and communicate technical information to non-technical stakeholders.

· You are located in Poland.

· You are open to occasional business travels.

· Your business-fluent English enables you to collaborate and communicate with colleagues in an international environment.

Technical skills:

  • Proficiency in programming languages: You should be proficient in programming languages 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, and Web Application firewalls.
  • 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.

We offer:

  • You can work remotely/hybrid/in one of our local offices.
  • We provide necessary tools.

If you are interested use the "Apply" button.

Our culture:

At Siemens Healthineers, we take into account different perspectives, are open to dialogue and challenge conventions. Change is an integral part of our work. We strive to be a leader of change in our industry, not just to respond to them. We invite you to take on new challenges with us, test your ideas and celebrate successes.

We highly value diversity, inclusion, and equal opportunities, so we warmly invite everyone, regardless of their gender identity, to apply for this position. We also encourage people with disabilities to apply.

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