
AI Researcher for Biotech Innovation
1 week ago
We're looking for a skilled Machine Learning Engineer to join our team. The ideal candidate will have strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn) and experience deploying models at scale.
This role involves designing, building and deploying scalable machine learning models that power our cutting-edge food safety platform. You'll work closely with data scientists, engineers and domain experts to translate requirements into production-ready ML solutions.
- Main Responsibilities:
- Design and train scalable machine learning models for real-world biotech applications
- Work collaboratively with cross-functional teams to deliver high-quality ML solutions
- Optimize model performance and ensure reliability in production environments
- Implement pipelines for data preprocessing, feature engineering and model monitoring
To be successful in this role, you'll need:
- 2–5 years of experience as an ML Engineer or in a similar role
- Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience deploying models at scale (cloud platforms: AWS/GCP/Azure)
- Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines)
- Solid understanding of data structures, algorithms and software engineering best practices
You'll enjoy working in a dynamic startup environment with opportunities to innovate and grow your skills. Our benefits include:
- 100% remote work arrangement
- Opportunity to apply ML in high-impact biotech solutions
- Autonomy, innovation and ownership in a collaborative culture
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