
Data Driven Biotech Innovator
2 days ago
About this Role
We are seeking a skilled professional to design, build and deploy scalable machine learning models that drive innovation in the biotech industry.
Key Responsibilities:
- Design and train machine learning models for real-world applications
- Collaborate with data scientists, engineers and domain experts to translate requirements into production-ready solutions
- Optimize model performance and ensure reliability in production environments
- Implement pipelines for data preprocessing, feature engineering and model monitoring
- 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
- Experience with scientific/biotech/healthcare data is a plus
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