Senior AI-ML Platform Engineer / Tech Lead

Practical experience with cloud-native technologies on AWS and/or Azure, including container orchestration (such as ECS Fargate), secrets management, relational and non-relational databases, networking, and load balancing.

Proficiency in developing production-grade backend services using Python and asynchronous programming frameworks; experience with Rust is a plus.

Experience with infrastructure-as-code and CI/CD tooling, including containerisation with Docker, pipeline automation with Azure DevOps, and cloud provisioning frameworks such as Terraform or CloudFormation.

Familiarity with observability and monitoring tools used in AI/ML environments, such as CloudWatch, Prometheus, Grafana, or LLM-specific evaluation tooling.

Experience with identity and access management technologies, including Entra ID, JWT, OIDC, SSO, API keys, and related IAM methods.

Demonstrated ability to lead professional engineers, set team priorities, and drive platform quality — balancing hands-on technical depth with team accountability and a focus on scalable, well-governed engineering.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

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