Data Model Operations Engineer
hace 4 días
At Quantexa, we're driven by a relentless pursuit of excellence. Our team thrives in an environment where innovation and discovery are the norm. We collaborate with clients to create meaningful impact and drive real change in their industries.
About UsFounded in 2016, Quantexa has grown from a small team to a global organization with over 700 employees across 47 nationalities. We're proud to be a diverse and inclusive workplace where 41% of our colleagues come from ethnic or religious minority backgrounds.
We've recently achieved 'Unicorn' status with our Series E funding round, solidifying our position as leaders in data-driven intelligence. Our Analytics teams develop and maintain AI models that underpin our platform, including expertise in Graph-based models and NLP.
As a Senior MLOps Engineer, you'll play a crucial role in designing, deploying, and maintaining production-level machine learning models. You'll lead MLOps initiatives, focusing on infrastructure, automation, and model transition from development to production.
ResponsibilitiesModel Deployment & Infrastructure: Build scalable cloud-based infrastructure for deploying machine learning models in production using GCP, Azure, and experience with Kubernetes and Docker for containerization and orchestration.
Pipeline Automation: Develop and maintain robust automated pipelines for training, validation, deployment, and retraining of machine learning models. Collaborate with data engineers and scientists to create continuous workflows for data preparation, model training, and evaluation.
Monitoring & Maintenance: Implement monitoring systems to track model performance in production environments and set up real-time alerts for model drift and performance degradation. Optimize pipelines and models for high availability, fault tolerance, and performance scalability.
Requirements- Experience with MLOps tools like MLFlow, Kubeflow, or DVC
- Familiarity with CI/CD pipelines and containerization/orchestration tools
- Knowledge of secure and compliant handling of sensitive data in production environments
We offer a competitive salary range of $140,000 - $180,000 per annum, depending on location and experience.
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