Senior Developer, Machine Learning Operations
Core
Building and integrating Traditional, Generative, and Agentic AI solutions into enterprise environments by designing, implementing, and optimizing AI pipelines and infrastructure.
Role type
Senior Machine Learning Operations Engineer
Builds
Production-ready AI/ML pipelines, containerized platforms, and CI/CD infrastructure for enterprise AI workflows.
Domain
Banking / Enterprise AI & MLOps
Deliverable
production ML models | infrastructure
Required skills
Linux shell scripting, Python, CI/CD pipeline management, OpenShift, Docker, Kubernetes, AWS cloud platforms, API integration, microservices architecture, network security protocols, workflow orchestration, logging and monitoring, observability frameworks.
Preferred skills
Generative AI concepts (prompt engineering, RAG), Agentic AI concepts, experience with specific tools (Bitbucket, Jenkins, Artifactory, Sonar, Veracode, JIRA, Confluence, Splunk, Geneos, Langfuse, Elastic Stack, Grafana, OpenTelemetry, Ctrl-M).
Responsibilities
Develop and maintain automation scripts; manage DevOps pipelines; ensure seamless deployment between cloud and on-prem environments; integrate AI models into production; implement network security protocols; collaborate on AI workflows; monitor and optimize system performance and scalability.
Seniority
Senior, hands-on IC
