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Description
About the role
The ML Platform Team makes ML/AI easy at scale. We streamline development, testing and deployment of ML/AI systems for hundreds of real-time algorithms. We own training orchestration, an inference software stack and infrastructure, and a Feature Store, including VectorSearch and RAG tooling. We develop LLM tools and CI/CD for ML, covering the whole range of ML infrastructure needs. Our tech stack includes TypeScript, Python, Spark (batch and structured streaming), Airflow, n8n, MLflow, LiteLLM, AWS SageMaker, Redis, Elasticsearch, Docker, Kubernetes, AWS (S3, EKS), Terraform, Great Expectations.
Main tasks and responsibilities:
Designing, building, and optimising components of ML Platform.
Optimise and extend our in-house Feature Store Platform serving billions of data points in real-time.
Tune infrastructure (k8s and AWS) and build automations to achieve the best cost-performance.
Proactively solve technical challenges, discover and build new features, enabling develop efficiency.
Support our internal users and help with troubleshooting, and turn user problems into scalable solutions.
Raise our product and technical quality bar, promoting software engineering best practices.
About you:
5+ years of experience in Software Engineering, out of which 2+ in ML/MLOPS/AI Engineering.
Experience in leading and delivering complex cross-team projects.
Production experience with Python, Spark, and Kubernetes.
Experience in MLOPS and AI ecosystem, and developing end-to-end ML/AI solutions at scale.
You strive for technical excellence while staying pragmatic to achieve outcomes for the users.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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