Back
PwC brand, popular AI Engineer title, broad ML skillset, and metro role drive high applicant competition.
AI engineering skills are broadly transferable across industries, though domain-specific model experience adds moderate specialization.
Explicit 1-year experience plus mandatory ML stack (Python, TensorFlow, NLP) enforces moderately strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement scalable AI systems and machine learning models using Python and TensorFlow to transform raw data into actionable insights.
Build and maintain data pipelines, integrate data from various sources, and manage data quality to support AI model deployment and reliable AI operations.
Collaborate with stakeholders and team members to enhance AI solutions, applying advanced techniques including NLP, neural networks, and deep learning methods.
At least a Bachelor's degree or equivalent with 3 years specialized training or progressively responsible AI/ML engineering experience if degree is missing.
Minimum 1 year of relevant work experience in AI and Machine Learning.
Proficiency in Python and TensorFlow for AI development.
Not explicitly mentioned in the JD: Notice period or specific location requirements.
Background in Computer and Information Science, Computer Engineering, Management Information Systems, Information Technology, or related fields.
Holds certifications related to data engineering, machine learning, and cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
Experience building AI agent workflows, applying generative AI including prompt engineering, and optimizing open-weight language models for deployment.