
Scalable Machine Learning Solutions for Food Safety
4 days ago
We're seeking a skilled Biotech Data Scientist to join our team and design, build, and deploy scalable machine learning models that power our cutting-edge food safety platform.
As a Biotech Data Scientist, you'll work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions. You'll optimize model performance, ensure reliability in production environments, and implement pipelines for data preprocessing, feature engineering, and model monitoring.
Responsibilities:
- Design, train, and deploy scalable machine learning models for real-world biotech applications
- Collaborate with cross-functional teams to translate business requirements into actionable data-driven solutions
- Optimize model performance and ensure reliability in production environments
- Implement pipelines for data preprocessing, feature engineering, and model monitoring
- Work closely with backend teams to integrate ML models into applications and APIs
Requirements:
- 2–5 years of experience as a Data Scientist 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
Perks:
- 100% remote
- Opportunity to apply ML in high-impact biotech solutions
- Autonomy, innovation, and ownership in a startup culture
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