Senior Machine Learning Developer
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The role
Lead the end-to-end lifecycle of machine learning models, from conception to deployment and monitoring at scale.
Build robust production systems with automated testing, low-latency inference, and strict service-level objectives.
Maintain and evolve client-facing ML features while enabling teams through observability and reusable tooling.
Collaborate with scientists and cross-functional teams to improve workflows, tooling, and deployment strategies across the organization.
Contribute to a modern tech stack including Python, AWS, Kubernetes, PyTorch, Terraform, Snowflake, and more.
Advance ML platform practices, data pipelines, and internal libraries to accelerate experimentation and reliability.
Build robust production systems with automated testing, low-latency inference, and strict service-level objectives.
Maintain and evolve client-facing ML features while enabling teams through observability and reusable tooling.
Collaborate with scientists and cross-functional teams to improve workflows, tooling, and deployment strategies across the organization.
Contribute to a modern tech stack including Python, AWS, Kubernetes, PyTorch, Terraform, Snowflake, and more.
Advance ML platform practices, data pipelines, and internal libraries to accelerate experimentation and reliability.
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