
Lead Machine Learning Model Developer
23 hours ago
As a machine learning engineer, you will play a pivotal role in developing and deploying scalable models for real-world biotech applications.
- Design, train, and deploy complex machine learning models to drive business growth and improve public health outcomes.
- Collaborate closely with cross-functional teams, including data scientists, engineers, and domain experts, to translate requirements into production-ready ML solutions.
- Optimize model performance and ensure reliability in high-pressure production environments.
- Implement efficient pipelines for data preprocessing, feature engineering, and model monitoring.
- Work with backend teams to integrate ML models into applications and APIs, driving innovation and customer satisfaction.
- 2–5 years of experience as an ML Engineer or in a similar technical role.
- Strong proficiency in Python programming language and popular machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience 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/healthcare data is a significant plus.
Contribute your expertise to the development of cutting-edge biotech solutions leveraging machine learning technologies.
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Senior Machine Learning Developer
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Senior Machine Learning Engineer
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Full Stack Machine Learning Professional
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AI Model Developer
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Cloud-Based Machine Learning Professional
11 hours ago
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Chief Machine Learning Operations Officer
2 days ago
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AI Model Developer
2 days ago
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Machine Learning Specialist
2 days ago
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Senior AI Model Developer
2 days ago
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