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AWS Infrastructure Specialist
2 months ago
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 ML 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.
- 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.
We offer a hybrid working model and a bonus.
