
Innovative Machine Learning Solutions Architect
2 weeks ago
As a machine learning engineer, you will play a crucial role in developing innovative software to enable our customers to grow their revenues. Our team builds high-quality and cutting-edge solutions to power the state-of-the-art subscription management platform.
We are headquartered in San Francisco, USA, with a global workforce of over 500 members spread across multiple locations worldwide.
Key Responsibilities :
Design, develop, and maintain data pipelines for feature generation, model training, batch scoring, and real-time inference using modern orchestration and container frameworks.
Feature-Store Development :
Develop and operate feature stores and corresponding data pipelines to ensure training-serving consistency.
Automation & DevEx :
Automate testing, deployment, and monitoring of data and model artifacts; provide templated repositories and documentation that enable data scientists to move from notebooks to production quickly.
Observability & Quality :
Instrument data-drift, concept-drift, and performance metrics; collaborate closely with data scientists on model experimentation, production-harden their code, review PRs, and evangelize MLOps best practices across the organization.
Required Skills & Qualifications~3+ years of experience 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 offer a collaborative and dynamic work environment that fosters growth and innovation.
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