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21 hours ago
A Data Science Expert is required to design, build and deploy scalable machine learning models that power our cutting-edge food safety platform.
This is a full-time role with the opportunity to apply ML in high-impact biotech solutions. Our company culture values autonomy, innovation and ownership.
The ideal candidate will have 2–5 years of experience as an ML Engineer or in a similar role, with strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines).
- Design and Train Scalable Models:
- Develop and deploy real-world biotech applications using machine learning techniques
- Collaborate with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions
- Optimize Model Performance:
- Improve model performance and ensure reliability in production environments
- Implement pipelines for data preprocessing, feature engineering, and model monitoring
- Work Collaboratively:
- Collaborate with backend teams to integrate ML models into applications and APIs
- Contribute to the development of innovative machine learning solutions that drive business growth
- Education: Bachelor's degree in Computer Science, Mathematics, Statistics or related field
- Experience: 2–5 years of experience as an ML Engineer or in a similar role
- Skills:
- Programming Skills: Proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- MLOps Tools: Knowledge of Docker, Kubernetes, CI/CD for ML pipelines
- Machine Learning: Experience deploying models at scale (cloud platforms: AWS/GCP/Azure)
- Remote Work: Opportunity to work from anywhere
- Innovative Culture: Startup environment with opportunities for growth and professional development
- Competitive Salary: Competitive compensation package
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