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Metro-based ML generalist role at a large global firm yields medium applicant competition.
Core ML and Python skills are transferable, but engineering domain context raises moderate sensitivity.
Requires ML, Python, SQL and production deployment skills but no explicit years, so medium strictness.
Develop, customize, and manage AI software products using Machine and Deep Learning for multiple business use cases.
Replicate existing AI products and pipelines globally, and support architectural design including defining data requirements for new developments.
Collaborate with business functions to identify impactful opportunities and support the deployment of AI models into production.
Bachelor's or Master's degree in Data Science, Computational Statistics, Applied Mathematics, Computer Science or related field.
Strong practical experience with Multivariate Statistics, Machine and Deep Learning, Probability concepts, and data preprocessing including feature engineering and cleansing.
Hands-on experience programming in Python and managing large datasets using SQL in a business environment.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in articulating business problems and delivering quantitative AI/ML solutions with measurable impact.
Has background or experience in engineering or technology roles indicating familiarity with technical product environments.
Capable of structuring projects end-to-end from idea through prototype to implementation with a result-driven mindset and strong communication skills.