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Strong employer brand combined with a mid-level ML role and generalist requirements increases competition.
Core ML and data science skills are broadly transferable across industries.
Explicit 6+ years requirement and mandatory hands-on ML/Python experience create strict shortlisting filters.
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Lead the end-to-end technical delivery of AI/ML projects including development, validation, deployment, and business integration.
Collaborate closely with business stakeholders to translate complex business challenges into actionable machine learning solutions and deliver data-driven insights.
Design and implement advanced data analysis, machine learning models, and scalable solutions while mentoring junior data scientists.
Bachelor's degree in Data Science, Computer Science, Operational Research, Statistics, Applied Mathematics, or related engineering discipline.
6+ years of hands-on experience in Python programming for data analysis and machine learning/generative AI.
6+ years of hands-on experience with data modeling, data mining, machine learning algorithms, or statistical analysis.
2+ years of experience in SQL programming and relational databases.
Experienced senior individual contributor who can lead technical AI/ML projects with measurable business impact.
Strong background in translating business problems into analytical frameworks and delivering actionable insights.
Familiarity with large language models and cloud platforms like Google Cloud Platform is advantageous but not mandatory.