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Tier-1 brand, metro location, mid-level (4 years) role, and broad ML/DevOps skillset create high competition.
Specialized LLM/ML operational skills and cloud model deployment create high domain specificity, limiting cross-industry transferability.
Explicit 4+ years requirement plus mandatory MLops, CI/CD, and Azure OpenAI skills make filters moderately strict.
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Develop and implement data science workflows and AI-driven automation solutions using machine learning, deep learning, and data engineering techniques.
Build and maintain data pipelines and lakes to support complex analysis and collaborate with cross-functional teams integrating AI and data engineering in client projects.
Analyze complex problems, mentor junior team members, ensure data quality, and contribute to innovation within the Data and Analytics Engineering group at the PwC Acceleration Center India.
Bachelor's degree required.
Minimum 4 years of professional experience.
Proficiency in oral and written English.
Experience with programming languages such as C++, R, MATLAB, Python, and/or Bash; knowledge of machine learning frameworks like TensorFlow and Scikit-Learn.
Experience operationalizing machine learning or large language model systems in production environments.
Proficient in building and managing CI/CD pipelines using GitHub Actions; familiarity with Azure OpenAI and model deployment.
Educational background preferably in AI, Robotics, Business Analytics, Computer Science, Engineering, Data Science, Mathematics, Statistics, or related fields with strong skills in data science algorithms and workflows.