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Strong PwC brand and metro location but senior specialised ML role reduces applicant density.
Core ML engineering skills are transferable, but consulting domain experience favors candidates with industry backgrounds.
Explicit senior (7–10 yrs) requirement plus mandatory ML, cloud, and deployment skills enforce high shortlisting strictness.
Design, develop, and deploy scalable AI and ML models including NLP, computer vision, and predictive analytics solutions.
Lead end-to-end AI projects collaborating with cross-functional teams from data preprocessing to deployment and monitoring.
Provide technical leadership and mentorship, ensuring ethical AI practices and compliance with data privacy standards.
3 to 5 years of relevant work experience in AI/ML development roles.
Bachelor's degree in Engineering (BE/B.Tech/M.Tech preferred).
Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
Experience with cloud platforms (AWS, Azure, or GCP) and deploying models using APIs, microservices, or MLOps frameworks.
Experience building scalable AI/ML models for real-world applications with cross-functional collaboration capabilities.
Familiarity with state-of-the-art AI algorithms and practical deployment using MLOps tools and cloud infrastructure.
Capable of providing technical leadership and mentoring junior team members while maintaining up-to-date knowledge of ethical AI and compliance standards.