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PwC brand, mid-level DevOps role in metro with broad ML/AI skills attracts many qualified applicants.
Specialized LLM/ML ops skills are transferable but still demand AI domain experience, giving moderate background sensitivity.
Mandatory 4+ years plus domain-specific ML/LLM and CI/CD skills make shortlisting moderately strict.
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Develop and implement AI-driven automation and cognitive solutions within the Data and Analytics Engineering group.
Collaborate with cross-functional teams to design and optimize data pipelines and workflows for efficient data processing.
Mentor junior team members and build client relationships while delivering quality data science and engineering solutions.
Bachelor's degree required.
Minimum 4 years of relevant work experience.
Proficiency in English (oral and written) mandatory.
Experience with programming languages such as C++, R, MATLAB; knowledge of TensorFlow and Scikit-Learn.
Experienced with machine learning, deep learning, and natural language processing techniques.
Familiarity with vector databases, LLM deployment patterns, and Azure OpenAI model deployment endpoints is preferred.
Comfortable building and managing CI/CD pipelines, preferably with GitHub Actions, and has exposure to healthcare domain (advantageous).