AI Solution Architect
Tasks
- Apply MLOps DataOps and AIOps principles
- Build data and ML pipelines
- Collaborate with enterprise solution and data stakeholders
- Define data architectures for machine learning
- Deploy AI models in production environments
- Design and implement end-to-end AI solutions
- Develop real-time data processing architectures
- Ensure data quality, performance, and cost-efficiency
- Implement generative AI solutions with foundational models
- Implement security best practices and compliance controls
- Optimize AI infrastructure and workflows
- Provide technical guidance and mentorship
Perks/Benefits
- Digital meal voucher
- Discounted Product and Service Deals
- Employee Assistance Hotline and Counselling
- Ergonomic kit allowance
- Flexible benefits program
- Flexible transportation allowance
- Hybrid working kit
- Private health insurance
Skills/Tech-stack
AIOps | Agile | Apache Airflow | Apache Spark | Cloudera | DataOps | Docker | Event Driven | Event-driven architecture | GenAI | Hadoop | Hive | Hybrid Cloud | Impala | Java | Kubernetes | LLM | MLOps | 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
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