ML Engineer Sr Consultant

As a Machine Learning Engineer at the Senior Consultant / Senior Manager level, you will design and develop integrated software algorithms to structure, analyze, and leverage data in product and systems applications across both structured and unstructured environments. You will use machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and others to develop and evaluate algorithms that improve product/system performance, quality, data management, and accuracy. Rigorous validation and identification of logical flaws via sound machine learning practices are essential to support the post-deployment phase integrity and accuracy of solutions. You will translate algorithms and technical specifications into code using current programming languages and technologies. The role includes designing and implementing methods for adaptive learning (self-learning models) with controls on effectiveness, methods for explaining model decisions where necessary, model validation, and A/B testing of models. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities

• Develop and program integrated software algorithms for product and systems applications in both structured and unstructured environments.
• Apply machine language and statistical modeling techniques to improve product/system performance, quality, data management, and accuracy.
• Conduct rigorous validation and identify logical flaws using sound machine learning practices.
• Translate algorithms and technical specifications into code using current programming languages and technologies.
• Design and implement methods for adaptive learning, model validation, A/B testing, and explainability of model decisions.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Basic Qualifications

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