Make An Impact On More Than Just Your Career #PGDay1
Description • Develops tools, systems and processes to enable the application of artificial intelligence in support of P&G business processes; • Develops CI/CD pipelines to engineer features for AI models (DataOps), train models and infer predictions (MLOps), deploy models and integrate with business applications (DevOps); • Partners with data scientists to develop and optimize source code, which implements deterministic and probabilistic AI models; • Manages cloud resources and distributed compute platforms as necessary to deploy AI enabled solutions, architects complex AI systems, builds out accelerators and re-usable code artifacts to enable data science and AI engineering teams.
Qualifications: • Demonstrated mastery in applied foundations data technologies such as: SQL, Relational databases, ER models/diagrams, Azure and/or database framework. • Understanding of Data Mining, Data Modeling, and Data Provisioning (acquisition, transformation and sharing). • Understand classic algorithms like Linear Programming, MILP, GBM, XGboost, etc. • Have working knowledge in programming languages such as Python, Java, spark and R and packaging/build tools such as Maven, Jenkins. • Demonstrated skills or are familiar with Big Data technologies (Hadoop, Spark, Hive, Impala) and NoSQL databases. • Understand algorithm engineering lifecycle and familiar with software engineering methodology. • Working experience on cloud computing. • Proven knowledge on IIOT, Product Supply or Digital Twin solution is preferred.Apply Now
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