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Protocol Intelligence
Data-driven signals on your job's competitivenessPwC brand, mid-level DevOps title, metro location, and broad technical requirements increase candidate competition.
Requires ML/LLM operationalization and cloud-native DevOps skills, making background moderately industry-specific.
Explicit 4+ years and mandatory LLM/ML operationalization, cloud, CI/CD, and Kubernetes skills raise screening strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement AI-driven data science workflows and predictive models for automation solutions.
Build, maintain, and optimize data pipelines, data lakes, and data quality across platforms.
Collaborate with cross-functional teams to integrate AI and NLP, mentor juniors, and contribute to client solutions.
Minimum Requirements
Bachelor's degree (field not strictly specified).
Minimum 4 years of relevant experience required.
Proficiency in English (oral and written).
Hands-on programming skills in Python and/or Bash; familiarity with containerization (Docker, Kubernetes) and CI/CD tools required.
Ideal Candidate Profile
Experience operationalizing machine learning or large language model systems in production environments.
Strong knowledge of cloud networking (VNET/VPC, subnetting, routing, firewalls) and orchestration (AKS preferred).
Background in AI/Robotics, Data Science, Computer Science, Engineering or related technical domains preferred.