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Leading AI Development
2 weeks ago
The role of a Senior Machine Learning Engineer involves leading the development and deployment of machine learning systems in production. The ideal candidate will have 5+ years of experience in scaling infrastructure, ensuring service reliability, and implementing best practices for monitoring and observability.
Key Responsibilities- Building benchmarking frameworks for Large Language Models (LLMs)
- Designing and implementing LLM Proxies to enable safe, observable, and cost-optimized access to multiple foundation models
- Partnering with applied ML, product, and platform teams to ensure GenAI infrastructure meets diverse product use cases
- Familiarity with core ML infrastructure components such as model registries, feature stores, orchestration tools, and inference serving systems
- Understanding of LLM systems, GenAI applications, or ML/AI platform components such as vector databases, serving layers, and orchestration tools
- Experience with cloud platforms like GCP, AWS, or Azure; Kubernetes; Docker; and distributed systems
- Proficiency in at least one server-side language (Python, Java, Scala, Golang, or Ruby) and solid grounding in testing and CI/CD workflows
We offer flexible working hours, professional development funds, comfortable office and remote setup, choice of laptop and equipment, premium medical insurance, and private life assurance.