Dein persönlicher KI-Karriere-Agent
Developing and deploying ML/AI solutions on the Data and AI Platform for asset management. Minimum 3 years of Databricks experience required. Flexible work arrangements, hybrid model.
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Anforderungen
- Minimum 3 years developing, deploying, managing ML/AI solutions at scale on Databricks
- Strong general understanding of AI/ML principles, technologies, tools, processes
- Expert technology skills in Databricks, Azure, Terraform, Spark, Python, SQL, CI/CD
- Diploma in computer science or similar field
- Very good understanding of Data Architecture and Data Engineering
- Excellent analytical, planning, and organizational skills
- Good oral and written communication skills in English
- Ability to efficiently document, share knowledge, enable others
- Working experience in financial industry, preferably asset management
- International work experience
- Hands-on exposure to Microsoft Foundry (Azure AI Foundry) or willingness to build expertise
- Certification “Databricks Certified Machine Learning Professional”
Aufgaben
- Develop and implement ML & AI solutions on the Data and AI Platform
- Support platform customers with technical aspects of ML & AI solutions
- Provide guidance and L3 support to development teams
- Foster enablement to the point of self-service
- Ensure adherence to security and compliance requirements
- Follow a compliance-by-design approach
- Adhere to ML & AI guidelines and best practices
- Develop, maintain, and enhance templates and reusable building blocks
- Facilitate accelerated creation of ML & AI solutions by platform customers
- Integrate, deploy, and manage ML & AI models and systems on the platform
- Collaborate with the Data and AI Platform Architect
- Integrate new ML & AI features into the platform
- Extend the platform's capabilities
- Ensure security and compliance of ML & AI capabilities and solutions
- Optimize ML & AI performance and cost efficiency
- Implement suitable ML & AI algorithms and techniques
- Exchange methods and best practices with the AI CoE
- Collaborate with DevOps and SecOps teams
- Ensure seamless integration and operation of ML & AI solutions
- Monitor the health and performance of ML & AI capabilities
- Address issues to ensure customer satisfaction
- Integrate ML & AI capabilities with Azure cloud resources
- Integrate ML & AI capabilities with external data sources
- Integrate ML & AI capabilities with applications
- Integrate ML & AI capabilities with SaaS services
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Flexible work arrangements
- Hybrid model
- Flexible working hours
- Company pension/savings plans
- Relocation support
- Childcare facilities
- Company share purchasing plan
- Mental health and wellbeing programs
- Jobrad bike leasing
- Subvention Jobticket
- Career opportunities within Allianz Group
- Self-guided learning & development
- Volunteering time
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Allianz Global Investors erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Allianz Global InvestorsÜber das Unternehmen
Allianz Global Investors is a leading global active asset manager focused on long-term value creation and sustainability.
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