AI Architect
Tasks
- Apply MLOps DataOps and AIOps
- Build real time data processing and analytics architectures
- Collaborate with data scientists on GenAI
- Collaborate with enterprise architects and stakeholders
- Define enterprise data architecture
- Deploy AI models in production
- Design end-to-end AI solutions
- Ensure data quality, performance, and cost-efficiency
- Implement security best practices for data and AI systems
- Optimize AI workflows for stability and efficiency
- Provide technical guidance and mentorship
Perks/Benefits
- Digital meal voucher
- Discounted products and services
- Employee Assistance Hotline and Counselling
- Ergonomic kit allowance
- Flexible benefits program
- Flexible transportation allowance
- Hybrid working kit
- Private health insurance
Skills/Tech-stack
AI architecture | AIOps | Agile | Apache Airflow | Apache Spark | Cloudera | Container Orchestration | Data Architecture | DataOps | DevOps | Docker | Event Driven | Event-driven architecture | Generative AI | Hadoop | Hive | Hybrid Cloud | Impala | Java | Kubernetes | LLMs | Lakehouse | MLOps | Machine Learning | Microservices | Private Cloud | PyTorch | Python | Real Time | Real-time analytics | Scala | Scikit-learn | Scrum | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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