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 CloudAdditional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W:TORONTOCity:
TORONTOCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
Capital MarketsJob Type:
RegularPay Type:
SalariedPosted Date:
2024-02-26Application Deadline:
2024-03-08Inclusion and Equal Opportunity Employment
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