Senior ML & GenAI Engineer
RBC CENTRE, 155 WELLINGTON ST W:TORONTO
Job Summary
Job Description
What is the opportunity?
This is a Senior ML & GenAI Engineer position which is part of a fast growing Wealth Management Technology & Solution (WMTS) Data Service team which will work with multiple RBC teams, upstream/downstream system consumers and services providers, 3rd party vendor partners, and operation partners. WMTS Data Service team is highly focusing on the communication, collaboration, integration, automation and measurement of cooperation in order to provide a range of operational, business, technical, and system needs, to resolve business systems issues by recommending technology solutions that meet sponsor/stakeholder needs.
What will you do?
Lead and deliver large ML/GenAI technical initiatives from requirements clarification, solutioning, development to implementation.
Be an expert consultant on ML/GenAI technical and management direction for strategic projects with a focus on the cross-divisional strategies
Research emerging trends/best industry practices and determines implications of proposed solutions on meeting business unit strategy
Provide expert counseling to ML/GenAI application development community in building solutions by providing expert technical/solution services
Follow RBC Technology Standards to design, develop programs following technical design and implement to production.
What do you need to succeed?
Must-have
Strong knowledge skills for GenAI, NLP and Machine learning, knowledge of data management.
Proficiency in Python, ML frameworks/libraries like Langchain, TensorFlow, PyTorch, Hugging Face Transformers.
Good knowledge of Public and Private cloud (Azure, AWS, OpenShift, Dockers, Kubernetes, ELK), good understanding of microservice architecture.
Experiences Database (SQL Server, Snowflake, SingleStore etc)
Strong analytical, consultative, and team communication / facilitative skills
Nice-to-have
Understanding of IT Standards, Methodologies, CMM & audit requirements
Agile experiences.
Financial institution knowledge
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
#LI-Hybrid
#LI-Post
#TechPJ
Job Skills
Applied Machine Learning, AWS AI Services, Data Mining, Data Science, ElasticSearch, Generative AI, Microservices Architecture, Microsoft Azure, Microsoft SQL Server, Natural Language Programming (NLP), Predictive Analytics, Python (Programming Language), Python Matplotlib, Python Software Development, Red Hat OpenShift, Snowflake (Platform)Additional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W:TORONTOCity:
TORONTOCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
TECHNOLOGY AND OPERATIONSJob Type:
RegularPay Type:
SalariedPosted Date:
2024-10-29Application Deadline:
2024-11-30Inclusion 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Data management Data Mining Elasticsearch ELK Generative AI Kubernetes LangChain Machine Learning Matplotlib Microservices NLP Python PyTorch Research Snowflake SQL TensorFlow Transformers
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Team events
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