
AI Infrastructure Developer
2 semanas atrás
We are seeking a highly skilled Machine Learning Engineer to join our team.
The ideal candidate will have expertise in designing, developing, and maintaining scalable infrastructure for machine learning pipelines and APIs.
Responsibilities include owning system architecture for training, retraining, developing, monitoring, and exposing machine learning models.
Required Skills- MLOps experience
- Strong cloud platform skills (AWS, GCP, Azure)
- Proficiency in containerization tools like Docker and orchestration systems (e.g., Kubernetes)
- Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Strong Python skills
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions)
- Knowledge of data pipelines and ETL processes (streaming and batch)
- Experience in monitoring, logging, and alerting solutions for ML services (e.g., Prometheus, Grafana, DataDog)
- Kafka or similar event streaming platforms knowledge
- Financial services or payment systems familiarity
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