AI ML Engineer

Company Description

Role Description

Required Skills

• Strong knowledge of Python, NumPy, Pandas, SciPy, and Scikit-learn.
• Practical experience in regression modelling and predictive analytics.
• Experience with spectral data, signal processing, or chemometrics.
• Knowledge of PLS Regression (PLSR), PCA, SVR, Random Forest, and XGBoost.
• Understanding of data preprocessing, cross-validation, model validation, and overfitting prevention.
• Ability to analyze real-world experimental datasets and improve model performance systematically.

Qualifications

• Strong foundation in Computer Science and Algorithms, with the ability to design efficient, scalable solutions.
• Applied experience in Statistics and Pattern Recognition for building robust analytical and predictive models.
• Hands-on expertise in Neural Networks and modern machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in programming languages commonly used in AI/ML such as Python, R, or similar, and experience with data processing tools.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• Experience working with scientific, laboratory, or industrial datasets; familiarity with LIMS or QMS environments is an advantage.
• Ability to collaborate with multidisciplinary teams, communicate technical concepts clearly, and document models and workflows thoroughly.
• Strong problem-solving mindset, attention to data quality, and commitment to ethical, responsible use of AI in compliance-driven settings.