Cloud Engineer for AI Platforms
hace 7 días
We are a global biopharmaceutical business, leveraging innovative medicines to improve the lives of millions of patients worldwide.
The Enterprise AI Platforms and Technologies Team is responsible for building and running platforms that power our ambition to use AI in every step of the value chain.
We achieve this through technical leadership and agile-focused development, continuously evaluating advancements in Machine Learning tooling for challenges across R&D, Commercial, and Operations domains.
Our data science platforms will support major AI initiatives such as clinical trial data analysis, knowledge graph analytics, patient safety systems, deep learning-led drug discovery, and software as a medical device system.
Key Responsibilities:- Develop and Maintain Cloud-Based Applications
- Collaborate with Data Scientists and Engineers
- Write Clean Code and Ensure Application Performance
- Work Closely with Internal Teams
Estimated Salary: $120,000 - $180,000 per year, depending on experience and qualifications. We encourage you to apply even if you don't meet every qualification listed. Here's what we're looking for:
- Strong demonstrable experience in Python.
- Considerable exposure to cloud computing (preferably AWS but open to others).
- Experience in DevOps/MLOps/AIOps practices to streamline development and deployment processes.
- Solid technical leadership skills to drive design and decision-making.
- Proficiency in containerization technologies like Docker, Kubernetes, and orchestration tools like Argo workflows, Kubeflow etc.
- An interest in machine learning and experience with frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Understanding of security standard methodologies in AI systems and alignment to compliance standards.
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