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AWS Infrastructure Specialist

2 months ago


Leicester, Leicester, United Kingdom Harnham Full time £60,000
About the Role

We are seeking a highly skilled AWS Engineer to join our team at Harnham. As a key member of our Data Science team, you will be responsible for building and maintaining scalable, reliable infrastructure for machine learning model deployment and data processing.

Key Responsibilities
  • Deploy machine learning models and data pipelines to production, ensuring robust monitoring and alerting systems.
  • Create and maintain automation scripts for efficient and reproducible ML model deployment.
  • Apply security best practices and ensure adherence to data privacy regulations.
  • Collaborate with Data Scientists, Software Engineers, and DevOps to streamline model development, testing, and deployment.
  • Monitor and troubleshoot ML model performance and data pipeline issues to minimize downtime.
  • Document processes, configurations, and best practices thoroughly.
  • Stay updated on new DevOps/MLOps technologies and best practices, and share knowledge with the team.
Requirements
  • Proven experience in DevOps/MLOps or similar roles, with a strong focus on deploying, maintaining, and optimizing machine learning models in production environments.
  • Advanced scripting and automation skills in languages such as Python and Bash, enabling efficient and reliable ML model deployment.
  • Familiarity with additional programming languages (e.g., GoLang, NodeJS) to support diverse project requirements and enhance development versatility.
  • AWS, Azure) and infrastructure-as-code tools (e.g., Git) to ensure smooth integration and continuous delivery of ML models.
  • Deep understanding of data science workflows and machine learning frameworks (e.g., TensorFlow, PyTorch) to effectively collaborate with data scientists and optimize model performance.
  • Strong teamwork and collaboration abilities, fostering a cooperative environment to achieve shared goals and drive successful project outcomes.
What We Offer

We offer a hybrid working model and a bonus for the right candidate.