Machine Learning Engineer
1 day ago
And we’re on a mission to push the boundaries of subscription revenue operations. Our team builds high-quality and innovative software to enable our customers to grow their revenues powered by the state-of-the-art subscription management platform.
Productionise ML workflows : build and maintain data pipelines for feature generation, ML model training, batch scoring, and real‑time inference using modern orchestration and container frameworks.
Feature‑store development : design and operate feature stores and corresponding data pipelines to guarantee training–serving consistency.
CI/CD & DevEx : automate testing, deployment, and monitoring of data and model artefacts; provide templated repos and documentation that let data scientists move from notebook to prod quickly.
Observability & quality : instrument data‑drift, concept‑drift, and performance metrics; Collaboration & review : work closely with data scientists on model experimentation, production‑harden their code, review PRs, and evangelise MLOps best practices across the organisation.
Required Skills & Experience
~3+ years as a ML / Data Engineer working on large-scale, data-intensive systems in cloud environments (AWS, GCP, or Azure), with proven experience partnering closely with ML teams to deploy models at scale.
~ Proficient in Python plus one of Go / Java / Scala; strong software‑engineering fundamentals (testing, design patterns, code review).
~ Hands on experience in Spark and familiarity with streaming frameworks (Kafka, Flink, Spark Structured Streaming)
~ Hands-on experience with workflow orchestrators (Airflow, Dagster, Kubeflow Pipelines, etc.) and container platforms (Docker + Kubernetes/EKS/ECS).
~ Practical knowledge of ML algorithms like XGBoost, LightGBM, transformers and deep learning frameworks like pytorch is preferred
~ Experience with experiment‑tracking / ML model‑management tools (MLflow, SageMaker, Vertex AI, Weights & Biases) is a plus
We are Globally Local
It’s a lot of responsibility, but also a lot of fun.
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