
Data-Driven Biotech Solutions Specialist
1 week ago
We're seeking a Biotech Innovator to join our team and design, build, and deploy scalable machine learning models that power our cutting-edge food safety platform.
As a key member of our data-driven team, you will work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions. Your expertise will be crucial in optimizing model performance and ensuring reliability in production environments.
- Design, train, and deploy scalable machine learning models for real-world biotech applications
- Collaborate with cross-functional teams to develop and implement data pipelines for model training and deployment
- Implement robust testing and validation procedures to ensure high-quality results
- Work with backend teams to integrate ML 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
What We Offer:
- 100% remote work opportunity
- A dynamic and innovative startup culture
- Autonomy and ownership over your projects
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