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5 days ago
As a Machine Learning Engineer, you will design and deploy scalable machine learning models that power our cutting-edge food safety platform.
Key Responsibilities:- Design, train, and deploy models for real-world applications
- Collaborate with data scientists, engineers, and domain experts to translate requirements into production-ready 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 models into applications and APIs
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)
- Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines)
- Solid understanding of data structures, algorithms, and software engineering best practices
We offer:
- 100% remote work option
- Opportunity to apply ML in high-impact biotech solutions
- Startup culture: autonomy, innovation, and ownership
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