Key Skills & Requirements:
Robust hands-on experience in Python, Pandas, NumPy, Scikit-learn, and SQL.
Strong understanding of Statistics, Machine Learning algorithms, Feature Engineering, and Model Evaluation.
Experience in building end-to-end ML solutions from problem definition and data preparation to model development, validation, and deployment.
Strong problem-solving and ML architecture skills with experience designing scalable solutions.
Hands-on experience with model deployment, productionization, or MLOps.
Ability to translate business problems into ML solutions.
Excellent communication and stakeholder/client-facing skills, with the ability to explain complex technical concepts clearly.
Robust coding standards and ability to work independently in a fast-paced workplace.