Software Engineer, AI/ML
Core
Implement, deploy, and monitor production-grade Machine Learning solutions to solve complex business problems, enhance customer experience, and drive predictive analysis for life sciences clients.
Role type
Machine Learning Engineer
Builds
Production ML models for content recommendation, generation, and predictive analysis
Domain
Life Sciences / Digital Validation
Deliverable
production ML models
Required skills
Python, Rust, Pandas, NumPy, SciPy, OpenCV, scikit-learn, TensorFlow, PyTorch, feature engineering, model evaluation
Responsibilities
Implement and deploy ML solutions to deliver business value; Collaborate with product managers and engineers to identify AI/ML opportunities; Develop production-grade ML models for content and predictive tasks; Monitor and improve model performance via data enhancement and experimentation; Stay up-to-date with AI/ML trends and influence the industry