AI Engineer


Job title: AI Engineer

Company: Royal Bank of Canada

Job description: Job Summary

Job Description

What is the opportunity?

The Alternative Data and AI team is looking to build an AI practice for leveraging Alternative data within our various lines of business-like Research, Banking and Global Markets solutions. The organization is building the latest and greatest tech stack for data and AI on the cloud leveraging Cloud computing and Generative AI capabilities. Engineering precision is at the center of everything we do, and this role provides the individual with an opportunity to evaluate, build and deploy state of the art Generative AI technologies and solutions to drive revenue and cost efficiencies.

What will you do?

Build advanced LLM capabilities to power Research Digitization, Banking and Global Market solutions.

Architect/Enable distributed compute aligning workloads to Small/Mid/High end GPUs.

Leverage appropriate storage hardware and data formats to improve read/re-read efficiency.

Identify and remediate latency contributors esp. IO bottlenecks, Inefficient Data shuffling, under/over utilized compute.

Scale models by employing Distributed training using Data / Model Parallelism techniques. Parallelize inference processing to improve prediction latency.

Provide Subject Matter Expertise in Graph and Vector databases for a variety of use cases that include Knowledge Graphs, RAG etc.

Implement LLM observability and monitoring solutions.

What do you need to succeed?

Must Have

Degree in Computer Science or Engineering

Prior Experience with: –

Distributed systems.

Databricks ML

Machine Learning Engineering

Cloud (Azur Preferred)

Expert level – Python, SQL

Nice to Have

Experience/Expertise with LLM Fine tuning, LLM Ops, Model Evaluation and Prompt Engineering

Experience (or knowledge of) Mosaic ML, Ray Framework.

Experience with Lang Chain or LlamaIndex

Experience with any vector database.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

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

A world-class training program in financial services

Flexible work/life balance options

Opportunities to do challenging work

Opportunities to take on progressively greater accountabilities

Opportunities to building close relationships with clients

Access to a variety of job opportunities across business and geographies.

#LI-Hybrid

#TECHPJ

Job Skills AI Architecture, Cloud Computing, Databricks Platform, Data Mining, Distributed Systems, Machine Language, Model Evaluation, Python (Programming Language), Requirements Analysis, Structured Query Language (SQL), Windows Azure Cloud

Additional Job Details

Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City: TORONTO

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: Capital Markets

Job Type: Regular

Pay Type: Salaried

Posted Date: 2024-02-26

Application Deadline: 2024-03-08

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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Expected salary:

Location: Toronto, ON

Job date: Wed, 28 Feb 2024 07:14:33 GMT

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