Associate AI DevOps Engineer
Core
Build and maintain scalable DevOps pipelines, infrastructure, and security protocols for internal AI/ML and data applications.
Role type
Associate AI DevOps Engineer
Builds
Internal data and analytics applications, MLOps pipelines, and AI-enabled products for Investment Banking and Global Markets.
Domain
Financial services, AI/ML infrastructure, Cloud
Deliverable
production ML models | infrastructure
Required skills
Cloud platforms (AWS, Azure, GCP), Kubernetes, MLOps tools (MLflow, Kubeflow), Python, Go, Bash, Infrastructure as Code (Terraform, Helm, Kustomize), Cloud security frameworks (CSPM, DSPM, ASPM), Containerization (OCI images), DevOps tools (GitHub, GitLab CI, Jenkins, Prometheus, Grafana, Elasticsearch, Kibana), Security protocols (Kerberos, TLS, OAuth2)
Preferred skills
CKA, CKAD, AWS/Azure/GCP certifications, Generative AI development and deployment of intelligent agents
Technologies
AWS, Azure, GCP, Kubernetes, MLflow, Kubeflow, TensorFlow, PyTorch, Terraform, Helm, Kustomize, Python, Go, Bash, Jenkins, Prometheus, Grafana, Elasticsearch, Kibana
Responsibilities
Develop and sustain comprehensive DevOps pipelines for AI and data applications; Enhance build infrastructure for internal data and analytics applications; Implement Infrastructure as Code (IaC) for platform components; Collaborate with Data Scientists and Model Governance teams to create and maintain MLOps pipelines; Establish robust security protocols for AI/ML pipelines; Improve monitoring systems and resolve infrastructure issues
Seniority
Associate, hands-on IC