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Senior Analytics & MLOps Platform Engineer

Posted 8 days agoViewed

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💎 Seniority level: Senior

📍 Location: UK, Europe, Africa, UTC -1, UTC+3

🔍 Industry: Fintech

🏢 Company: M-KOPA

🗣️ Languages: English

🪄 Skills: PythonApache AirflowKubernetesMachine LearningMLFlowAzureData engineeringCI/CDTerraformData analytics

Requirements:
  • Experience managing machine learning infrastructure in production
  • Working with infrastructure-as-code tools such as Azure Bicep, Terraform, ARM, CloudFormation or similar
  • Good practical experience in data engineering
  • Experience with Kubernetes or other platforms for containerized applications
  • Working with orchestration systems such as Apache Airflow
  • Proficiency in programming languages (Python, C#, Java, etc.)
  • Certification in Azure Solutions Architect Expert or similar
Responsibilities:
  • Designing and implementing architectures to streamline exploration, training, deployment and monitoring of machine learning models.
  • Building and maintain CI/CD pipelines to deploy machine learning models into production, ensuring scalability, reliability, and continuous performance monitoring with automated retraining workflows.
  • Implementing version control for models and feature sets to ensure reproducibility, traceability, and compliance with best practices.
  • Automating and managing infrastructure for data pipelines, machine learning model training, and serving using Azure and infrastructure-as-code tools.
  • Establishing infrastructure and engineering patterns to feature engineering and reuse across suite of models.
  • Developing workflows for model validation, testing, and deployment, fully integrated with CI/CD systems, while enhancing resource utilization, to enable distributed processing, and optimize workflows for scalability, including GPU/TPU acceleration.
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  • Experience managing ML infrastructure in production.
  • Proficient with infrastructure-as-code tools like Azure Bicep, Terraform, ARM, or CloudFormation.
  • Experience with Kubernetes or platforms for containerized applications.
  • Knowledge of orchestration systems such as Apache Airflow.
  • Proficiency in programming languages such as Python, C#, or Java.
  • Certification in Azure Solutions Architect Expert or similar.
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  • Implement version control for models and feature sets for reproducibility and compliance.
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  • Establish engineering patterns for feature engineering and model reuse.
  • Develop workflows for model validation, testing, and deployment integrated with CI/CD systems.

PythonApache AirflowKubernetesMachine LearningAzureData engineeringCI/CDTerraform

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