Senior Solutions Architect

Data scientist- Principal Data Scientist/Senior Machine Learning Scientist/AI/ML Solution Architect

Key Responsibilities

• Lead end-to-end machine learning solution delivery for complex enterprise use cases
• Translate ambiguous business challenges into structured ML problem statements and solution architectures
• Design, develop, and optimise advanced machine learning models including:
• Supervised and unsupervised learning
• Ensemble methods
• Deep learning architecture
• Optimisation and probabilistic models
• Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements
• Apply knowledge of deep learning architectures such as:
• CNNs for vision use cases
• RNNs / LSTMs / GRUs for sequential data
• Transformer architectures for NLP and structured data
• Fine-tuning and transfer learning approaches
• Drive experimentation frameworks, hypothesis testing, model validation, and statistical rigor
• Ensure robustness, generalisation, bias mitigation, and explainability in deployed models

Required Experience & Qualifications

• 15+ years of total professional experience, including
• 8+ years of hands-on experience in machine learning and data science
• Advanced degree (Master’s or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline
• Proven experience building and deploying advanced ML and deep learning models in enterprise environments
• Deep understanding of algorithm selection, model complexity trade-offs, and overfitting/underfitting dynamics
• Strong proficiency in Python and ML ecosystems (scikit-learn, pandas, NumPy)
• Experience with deep learning frameworks (PyTorch or TensorFlow)
• Practical knowledge of deep learning architectures (CNNs, RNNs, Transformers) and when to apply them