Artificial Intelligence Model Developer
2 weeks ago
We are seeking an experienced Machine Learning Engineer to lead the development of scalable machine learning models for real-world applications in the biotech industry.
Key Responsibilities:- Design, train, and deploy AI-driven solutions that drive business outcomes in the biotech sector.
- Collaborate with data scientists, engineers, and domain experts to translate technical requirements into production-ready ML solutions.
- Optimize model performance and ensure reliability in cloud-based environments.
- Implement pipelines for data preprocessing, feature engineering, and model monitoring.
- Work with backend teams to integrate ML models into applications and APIs.
The ideal candidate should have experience in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and deploying models at scale using cloud platforms (AWS/GCP/Azure). Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines) and solid understanding of data structures, algorithms, and software engineering best practices is also required.
This is a 100% remote opportunity to apply AI in high-impact biotech solutions. Our team values autonomy, innovation, and ownership.
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