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Ml Developer

2 months ago

Toronto, Ontario, Canada RBC - Royal Bank Full time
**Job Title:** AIOps Engineer **Job Summary:** Design, develop, and deploy AI-driven services to transform IT Ops and increase operational resilience of critical business processes.

The AIOps team at RBC is building complex AI-driven services to transform IT Ops and increase the operational resilience of critical business processes. As an AIOps Engineer, you will design, develop, and deploy solutions that deliver AIOps services for the enterprise at scale.

Key Responsibilities:

  • Write production-level code, package, and deploy ML models in collaboration with data scientists and subject matter experts.
  • Partner with AIOps engineers and data owners to identify, extract, and transform structured and unstructured data to enable exploratory data analysis.
  • Build robust and scaled real-time and batch data pipelines for model inferencing and training/re-training.
  • Develop and deliver end-to-end user experiences that integrate ML pipelines with enterprise ops systems, including notification and alerting systems, IT Service Management systems, event aggregators, and workflow orchestrators.
  • Continuously monitor model performance and measurably improve model performance over time.

Requirements:

  • Extensive hands-on experience implementing real-time and batch ETL/ELT pipelines, highly parallel data processing, and stream processing with Python, Spark, Kafka.
  • Mighty Python skills, extensive experience with ML Python libraries such as PySpark, NumPy, Pandas, Scikit, TensorFlow.
  • Experience with cloud AI/ML and big data platforms and services, preferably AzureML, Vertex, SageMaker, Snowflake, DataBricks, Tableau, Alteryx, SQL, REST APIs, and microservices-driven architectures.
  • Strong software development experience in an agile context, and extensive experience working with CI/CD software deployment pipelines.

Nice-to-Have:

  • Experience with LLMs and supervised and unsupervised ML techniques, and regression and classification techniques - decision tree, random forest, neural network, etc.
  • Experience developing ML/AI-driven solutions in an ITOps, SRE, or infrastructure context with operational data such as infrastructure metrics and app logs.
  • Front-end expertise with React and/or Angular.

What's in it for you?

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
  • Leaders who support your development through coaching and managing opportunities.
  • Ability to make a difference and lasting impact.
  • Work in a dynamic, collaborative, progressive, and high-performing team.
  • Opportunities to do challenging work.

RBC is a leading financial institution that thrives on the challenge to be its best, progressive thinking to keep growing, and working together to deliver trusted advice to help clients and communities prosper.