
AI Innovator in Food Safety
2 days ago
We are looking for a skilled Machine Learning Engineer to join our team and contribute to the development of cutting-edge food safety solutions.
This is an exciting opportunity to design, build, and deploy scalable machine learning models that drive innovation in biotech. As a key member of our team, you will work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions.
- Key Responsibilities:
- Design, train, and deploy scalable machine learning models for real-world biotech applications
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Optimize model performance and ensure reliability in production environments
- Implement pipelines for data preprocessing, feature engineering, and model monitoring
- Work with backend teams to integrate ML models into applications and APIs
- 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
- Experience with scientific/biotech/healthcare data is a plus
- 100% remote work arrangement
- Opportunity to apply ML in high-impact biotech solutions
- Startup culture: autonomy, innovation, and ownership
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