2 months ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, automate, and operationalize end-to-end machine learning training, evaluation, and deployment pipelines using Azure-native tooling.
- Manage containerized model endpoints, versioning, traffic management, and rollback mechanisms across environments.
- Implement model performance monitoring, data drift detection, and alerting for production systems.
- Govern LLM provider relationships, API access, versioning, token consumption, and workload costs across OpenAI, Azure OpenAI, and Anthropic.
- Maintain LLM gateway, tracing, evaluation, and prompt lifecycle tooling such as LangSmith and Helicone.
- Support reproducible experiment tracking, model registries, and governed paths from experimentation to production.
- Collaborate with data scientists, data engineers, and AI architects to translate modeling requirements into reliable production systems.
- Introduce CI/CD, infrastructure-as-code, automated testing, and workflow automation practices for ML systems.
- Monitor infrastructure spending, identify optimization opportunities, and ensure platform service-level agreements are met.
Requirements
- 3–4 years of experience with machine learning, Azure, deployment, and pipelines.
- Experience building and operating machine learning pipelines and production model-serving infrastructure.
- Experience with model monitoring, data drift detection, observability, experiment tracking, and model registries.
- Experience managing LLM providers, API access, versioning, token usage, and production costs.
- Ability to collaborate with data scientists and engineers to deliver scalable production systems.
- Knowledge of CI/CD, infrastructure as code, automated testing, and platform reliability practices.
Benefits
- Global, collaborative work environment spanning EMEA, the Americas, and APAC.
- Opportunities for personal and professional development from day one.
- Equal opportunity employer committed to diversity and inclusion.
Tech Stack
Categories
About CUBE
CUBE builds AI-driven regulatory intelligence and compliance automation software that monitors and interprets global regulatory change for highly regulated industries, especially financial services. Its SaaS products—RegPlatform, Oden, Intel, and PoweredBy—help compliance and risk teams act on updates and map obligations to controls; founded in 2011 and headquartered in London, CUBE operates globally and is privately held under Hg ownership.