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21 hours ago
We are seeking a highly skilled Machine Learning Developer to join our team.
The ideal candidate will have expertise in designing, training, and deploying scalable machine learning models that power cutting-edge food safety platforms.
Main Responsibilities:- Design and deploy efficient machine learning models for real-world biotech applications.
- Collaborate with data scientists, engineers, and domain experts to translate project requirements into production-ready ML solutions.
- Optimize model performance and ensure reliability in production environments.
- Develop pipelines for data preprocessing, feature engineering, and model monitoring.
- Integrate ML models with backend systems and APIs.
- 2-5 years of experience as an ML developer or similar role.
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience deploying models at scale on cloud platforms (AWS/GCP/Azure).
- Familiarity with MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines).
- Solid understanding of data structures, algorithms, and software engineering best practices.
- Knowledge of scientific/biotech/healthcare data is a plus.
A dynamic work environment with opportunities for professional growth and development. Our team is committed to delivering innovative solutions that improve public health and food safety.
Why Join Us?Our organization is dedicated to improving public health and food safety through robotics, software, and advanced technology. We offer a collaborative and supportive work environment where you can make a meaningful impact.
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