
Food Safety Data Scientist
2 days ago
We are looking for a skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will design, build, and deploy scalable ML models that power our cutting-edge food safety platform.
In this role, you will work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions. You will also optimize model performance and ensure reliability in production environments.
Key responsibilities include:
- Designing, training, and deploying scalable machine learning models for real-world biotech applications
- Collaborating with cross-functional teams to translate requirements into production-ready ML solutions
- Optimizing model performance and ensuring reliability in production environments
Requirements:
- 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)
- Solid understanding of data structures, algorithms, and software engineering best practices
Benefits:
- 100% remote work environment
- Opportunity to apply ML in high-impact biotech solutions
- Startup culture: autonomy, innovation, and ownership
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