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Strong PwC brand and mid-level ML developer role increase candidate competition.
ML and deployment skills are broadly transferable across industries.
Explicit two-year requirement and mandatory Python/ML/cloud skills make filtering moderately strict.
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Extract insights from large datasets using advanced analytics and statistical modeling to solve client business problems.
Develop and implement algorithmic, machine learning, and AI/ML solutions using Python, and build related backend APIs and frontend interfaces.
Collaborate with diverse teams and clients across geographies, taking ownership and consistently delivering quality work to drive client value.
Bachelor's degree required.
Minimum 2 years of relevant work experience.
Proficiency in English (oral and written).
Strong Python skills; working knowledge of SQL; experience with AI/ML solution development.
Educational background in Computer Science, Engineering, Data Science, Statistics, Mathematics, or related fields.
Experience with cloud platforms (AWS, Azure, GCP) or predictive modeling/ML tools (Python, SAS).
Ability to develop full-stack AI applications including frontend (React, Next.js) and backend services (FastAPI, Flask, Node.js); familiarity with Docker and containerized deployment.