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AI Engineer
2 months ago
We are seeking a highly skilled ML Developer to join our AIOps team at the Royal Bank of Canada. As a key member of our team, you will be responsible for designing, developing, and deploying AI-driven solutions to transform IT operations and increase operational resilience.
Key Responsibilities- Design and Develop AI Solutions: Collaborate with data scientists and subject matter experts to design and develop AI models that deliver AIOps services for the enterprise at scale.
- Build and Deploy Data Pipelines: Partner with AIOps engineers and data owners to build robust and scaled real-time and batch data pipelines for model inferencing and training/re-training.
- Develop End-to-End User Experiences: Integrate ML pipelines with enterprise ops systems, including notification and alerting systems, IT Service Management systems, event aggregators, and workflow orchestrators.
- Monitor and Improve Model Performance: Continuously monitor model performance and measurably improve model performance over time.
- Extensive Experience in AI/ML: Hands-on experience implementing real-time and batch ETL/ELT pipelines, highly parallel data processing, and stream processing with Python, Spark, Kafka.
- Strong Python Skills: Extensive experience with ML Python libraries such as PySpark, NumPy, Pandas, Scikit, TensorFlow.
- Cloud AI/ML Experience: 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.
- Software Development Experience: Strong software development experience in an agile context, and extensive experience working with CI/CD software deployment pipelines.
- Experience with LLMs and Supervised/Unsupervised ML: Experience with large language models and supervised and unsupervised ML techniques, and regression and classification techniques – decision tree, random forest, neural network, etc.
- Experience with Front-end Development: Front-end expertise with React and/or Angular.
- Total Rewards Program: A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
- Leadership and Development Opportunities: Leaders who support your development through coaching and managing opportunities.
- Ability to Make a Difference: Ability to make a difference and lasting impact.
- Dynamic and Collaborative Work Environment: Work in a dynamic, collaborative, progressive, and high-performing team.
- Opportunities for Growth: Opportunities to do challenging work and grow your career.
