Are you ready to revolutionize the world of clinical trials? At Evinova, we're on a mission to transform drug development by leveraging cutting‑edge AI and Machine Learning. With the goal of increasing clinical trial success rates by 20%, accelerating timelines by 36 months, and slashing study costs by 50%, we need innovative minds like yours If you're a skilled coder with a passion for developing ML solutions, a deep understanding of modern deep learning, and robust AWS skills, this could be your chance to make a significant impact.
We're looking for ambitious individuals eager to grow into leadership roles and break through glass ceilings. Join us as a Senior Full Stack ML Engineer to design and implement advanced machine learning models that tackle complex healthcare challenges. You'll lead the end‑to‑end ML lifecycle, develop critical data pipelines, and collaborate with cross‑functional teams to align AI initiatives with business objectives. This is your opportunity to mentor team members, drive digital transformation in healthcare, and work with state‑of‑the‑art technologies.
Accountabilities
- Design and implement advanced machine learning models and agentic systems to solve complex healthcare problems.
- Translate analytical prototypes into robust, scalable production systems.
- Lead end‑to‑end ML lifecycle from data preparation to deployment and monitoring.
- Develop and maintain data pipelines supporting model training and deployment.
- Deliver production‑ready code as well as infrastructure as code, implementing best practices for code quality, testing, and documentation.
- Collaborate with cross‑functional teams to deliver data‑driven solutions.
- Mentor team members with a less technical background in software engineering.
- Collaborate in a multidisciplinary environment to align AI initiatives with business objectives and drive digital transformation.
- Stay current with advancements in data science, AI, and software engineering.
Essential Skills/Expe
📌 Principal Full Stack ML Engineer (España)
🏢 Evinova
📍 España
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