VSP Vision is looking to solve real-world business challenges by applying AI and Machine Learning techniques, aiming to improve how they help people see every possibility through their strategic business pillars.
Requirements
- Strong programming skills in Python and familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost
- Experience with data analysis tools (e.g., Pandas, NumPy, SQL)
- Understanding of ML concepts including supervised/unsupervised learning, overfitting, bias-variance tradeoff, and evaluation metrics
Responsibilities
- Build, train, and evaluate ML models for tasks such as classification, regression, clustering, and anomaly detection
- Clean, transform, and analyze structured and unstructured datasets to support model training and validation
- Explore different algorithms and architectures, including decision trees, neural networks, and ensemble methods
- Optimize models for accuracy, efficiency, and scalability using techniques like hyperparameter tuning and cross-validation
- Maintain clear records of experiments, results, and insights for reproducibility and team knowledge sharing
- Work closely with cross-functional teams to align ML solutions with business goals and deployment requirements
Other
- Facilities to work remotely, including private or semi-private workspace
- Access to high-speed internet
- Eager to learn
- Inquisitive problem-solver
- Creative thinker
- Self-motivated
