
Advanced Biotech Model Developer
1 day ago
About Our Ideal Candidate
We are seeking a highly skilled Machine Learning Engineer to join our team at Genista Biosciences. As an ML Engineer, you will design, build, and deploy scalable machine learning models that power our cutting-edge food safety platform.
Your Key Responsibilities:
- Design and train robust machine learning models for real-world biotech applications.
- Work closely with cross-functional teams to translate requirements into production-ready ML solutions.
- Optimize model performance and ensure reliability in production environments.
- Implement efficient pipelines for data preprocessing, feature engineering, and model monitoring.
- Collaborate with backend teams to integrate ML models into applications and APIs.
Our Expectations:
- 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.
A Collaborative Work Environment
Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology. We offer a competitive salary and benefits package, as well as opportunities for growth and development in a dynamic work environment.
Benefits and Perks:
- 100% remote work arrangement.
- Opportunity to apply ML in high-impact biotech solutions.
- Startup culture: autonomy, innovation, and ownership.
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