Data Engineer, ML

Key Responsibilities

• Apply Machine Learning concepts and techniques to address business challenges, interpreting statistical data and identifying relevant features to inform solution development.
• Choose appropriate algorithms and evaluate their performance using relevant metrics, ensuring that solutions meet business needs and drive informed decision-making.
• Clearly communicate the results of Machine Learning initiatives to stakeholders, providing actionable insights that inform business decisions.
• Collaborate with stakeholders to implement Machine Learning techniques that drive business value, selecting and applying relevant methodologies to achieve desired outcomes.
• Be a team player and work across teams.

Requirements & Tech Stack

• Familiarity with applying Machine Learning concepts and techniques to address business challenges, including interpreting statistical data and identifying relevant features.
• Familiarity working with algorithms, including choosing appropriate algorithms and evaluating their performance using relevant metrics.
• Ability to interpret statistical data and identify relevant features to inform solution development.
• Exposure to implementing Machine Learning techniques, including collaborating with stakeholders to select and apply relevant methodologies.
• Familiarity communicating complex technical results to stakeholders, providing actionable insights that inform business decisions.