Senior Machine Learning Engineer
Tasks
- Architect end-to-end AI/ML solutions
- Automate CI CD pipelines for application data and ML workloads
- Build data validation experimentation training evaluation and deployment workflows
- Build secure scalable observable architectures
- Develop LLM RAG and agentic AI capabilities using Vertex AI
- Develop production ML services and APIs
- Implement monitoring drift detection and incident response
- Manage versioning testing packaging deployment and rollback
- Provision cloud infrastructure with Terraform
Perks/Benefits
- Access to wellbeing apps
- Career coaching
- Certification support
- Conferences and workshops
- Employee assistance programme
- Flexible working hours
- Hybrid work
- Internal tech communities
- Training and development
- Wellbeing programme
Skills/Tech-stack
AWS | Alerting | Argo CD | Azure | CI/CD | Cloud platform | Docker | Feature Store | Git | Google Cloud | Google Cloud Platform | Helm | IAM | Kubeflow | Kubernetes | LLM | Langchain | Llamaindex | Logging | MLflow | Model Registry | Monitoring | Networking | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | SQL | Scikit-learn | TensorFlow | Terraform | Tracing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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