
AI Model Designer
2 weeks ago
As a skilled Machine Learning Engineer, you will play a pivotal role in designing and developing scalable ML models that drive our innovative food safety platform. Your expertise in training and deploying machine learning models for real-world biotech applications will be essential in driving business growth.
Key Responsibilities:
- Design and deploy complex machine learning models to tackle real-world challenges in the biotech industry
- Collaborate closely with cross-functional teams, including data scientists and engineers, to translate requirements into production-ready ML solutions
- Optimize model performance and ensure seamless integration into production environments
- Develop and implement pipelines for efficient data preprocessing, feature engineering, and model monitoring
- Integrate ML models into cloud-based applications and APIs through collaboration with backend teams
Requirements:
- 2-5 years of experience as an ML Engineer or in a similar role
- Strong proficiency in Python programming language and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Proven experience in deploying models at scale using cloud platforms (AWS/GCP/Azure)
- Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines) is highly desirable
- Solid understanding of data structures, algorithms, and software engineering best practices
- Experience working with scientific, biotech, or healthcare data is a plus
Why You'll Thrive Here:
- Opportunity to work on cutting-edge food safety technology
- Collaborative and dynamic work environment
- Chance to develop and apply your machine learning skills in a real-world setting
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