Opportunity Description
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in Machine Learning engineering or AI system integration.
- Bash and Unix/Linux command-line toolkit is a must-have.
- Hands-on experience with OpenShift, Docker, Kubernetes.
- Knowledge of cloud platforms (e.g. AWS) is a must-have.
- Exposure to data and network security and compliance in AI systems.
- Knowledge of API integration and microservices architecture.
- Proficiency in Python used both for automation and ML-related tasks
- Knowledge of Workflow Orchestrator, such as Ctrl-M
- Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.
- Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, OpenTelemetry.
- Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.
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