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Data Scientist
2 weeks ago
As a Data Scientist – Machine Learning Engineer, you will play a crucial role in designing and deploying scalable machine learning models that power our cutting-edge food safety platform.
The ideal candidate will have strong expertise in developing high-performance machine learning models for real-world biotech applications. You will work closely with data scientists and engineers to translate requirements into production-ready ML solutions.
Your key responsibilities will include optimizing model performance and ensuring reliability in production environments. You will also be responsible for implementing pipelines for data preprocessing, feature engineering, and model monitoring. Additionally, you will integrate ML models into backend applications and APIs.
Required Skills and Qualifications- Minimum 2-5 years of experience as a Data Scientist – Machine Learning Engineer or in a similar role.
- Strong proficiency in Python and machine learning 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 option.
- Opportunity to apply ML in high-impact biotech solutions.
- Autonomy, innovation, and ownership in a startup culture.
