Senior Artificial Intelligence/Machine Learning Engineer
Tasks
- Build agentic workflows using RAG
- Build secure scalable observable and resilient services
- Collaborate on solution design and code reviews
- Contribute to CI/CD pipelines and automation frameworks
- Create event driven and streaming solutions
- Design and build AI-powered applications
- Develop and enhance generative AI platform capabilities
- Develop scalable REST APIs and microservices
- Ensure security scalability governance and operational excellence
- Evaluate emerging AI technologies
- Implement model development deployment and inferencing frameworks
- Monitor and optimize platform performance
- Troubleshoot and maintain platform services
Perks/Benefits
- Company paid medical insurance
- Company-paid certifications
- Internal mobility
- Language courses
- Mental and physical health support programs
- Mental health programs
- Paid vacation
- Remote work
- Sick leave
- Udemy license
Skills/Tech-stack
API Gateway | Agentic AI | Authentication | CI/CD | Cloud Computing | Containers | Data Governance | Data Lineage | DevSecOps | Distributed Computing | Event Streaming | FastAPI | Fine Tuning | Generative AI | Inference | JWT | Kafka | Kubeflow | Kubernetes | Language Models | Large Language Models | MLflow | Machine Learning | Machine learning lifecycle | Metadata Management | Microservices | Model Deployment | Model Serving | Monitoring | Observability | Python | RAG | REST APIs | Semantic layer | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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