Rbc
Financial Services
MLEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“ML Engineer at Rbc. Skills: ML Engineer, AI, GenAI, LLM, Python, Data Ingestion Pipelines, Hybrid Cloud Deployment, CI/CD, Relational Databases, Non-relational Databases. Implement LLM agents and deploy them on hybrid cloud environment. Design, develop, and implement AI-enabled data ingestion applications and machine learning systems”
What You'll Achieve.
Deliver trusted advice to help our clients thrive and communities prosper; Achieving success that is mutual; Make a difference and lasting impact; Bring AI and GenAI solutions to enterprise at scale
Industry & Context.
Troubleshoot; Resolve issues; Problem Solving
What They're Looking For.
Must Have
Experience building and maintaining data ingestion pipelines, In-depth knowledge of the Python application deployment lifecycle, including CI/CD processes, Hands-on experience deploying hybrid environments on on-premise and cloud platforms, including RedHat OpenShift and Azure, Proven proficiency in programming languages such as Python, and Java, Experience working with relational databases (e. g. , MSSQL, PostgreSQL, MySQL), including expertise in profiling data and writing/optimizing SQL queries, Familiarity with non-relational databases e. g. , Elasticsearch, MongoDB, written and verbal communication skills, with the ability to create compelling presentations and effectively collaborate with stakeholders
Nice to Have
Experience with data analytics and monitoring platforms, such as Splunk, Dynatrace, Moog, PromQL, and Grafana Enterprise Metrics (GEM), Familiarity with machine learning frameworks such as PyTorch, TensorFlow and/or scikit-learn, Previous experience with MLOps orchestration tools such as AirFlow, KubeFlow, or MetaFlow, Experience working in agile teams using methodologies like Scrum or Kanban
What You'll Do.
Implement LLM agents and deploy them on hybrid cloud environment
and implement AI-enabled data ingestion applications and machine learning systems
Collaborate with peers to write
and document high-quality code aligned with strategic initiatives and detailed requirements
Partner with internal teams across RBC to deliver software features
and implement bug fixes
Ensure seamless integration of machine learning applications into enterprise-grade infrastructure while maintaining high performance and reliability
How You'll Work.
Team & Collaboration
Collaborate with peers; Partner with internal teams across RBC; Collaborate with stakeholders; Working in a fast-paced, collaborative environment; Partner closely with data leads and business stakeholders; Working together to deliver trusted advice; Working together as One RBC; Effectively collaborate
Communication Scope
Written communication skills; Verbal communication skills; Ability to create compelling presentations; Effectively collaborate with stakeholders
Process & Methodology
Agile teams, Scrum, Kanban
Full Job Description
**_Job Description_** **What is the opportunity?** Join the Shared Platform Services (SPS) team as we revolutionize operational processes within Technology Infrastructure by delivering enterprise-grade, data-intensive AI and GenAI solutions. We are looking for a talented and adaptable ML Engineer to help design, build, and maintain cutting-edge solutions for key stakeholders across Technology & Operations, including Digital Platform Services, Engineering Transformation Services, SRE Operations Teams, and TI Platforms. In this role, you will work at the forefront of AI and machine learning infrastructure, focusing on LLM developments as well as GenAI infrastructure. You’ll also play a critical role in the end-to-end software development lifecycle (SDLC), from gathering requirements and designing solutions to development, testing, deployment, and knowledge transfer to support teams. Working in a fast-paced, collaborative environment, you’ll partner closely with data leads and business stakeholders to ensure that our solutions are fit for purpose and operate seamlessly. This is a unique opportunity to grow your expertise in machine learning infrastructure and work with a passionate, high-performing team committed to bringing AI and GenAI solutions to enterprise at scale. **What will you do?** * Implement LLM agents and deploy them on hybrid cloud environment * Design, develop, and implement AI-enabled data ingestion applications and machine learning systems * Collaborate with peers to write, troubleshoot, enhance, and document high-quality code aligned with strategic initiatives and detailed requirements. * Partner with internal teams across RBC to deliver software features, resolve issues, and implement bug fixes. * Ensure seamless integration of machine learning applications into enterprise-grade infrastructure while maintaining high performance and reliability. **What do you need to succeed?** **Must Have:** * Experience building and maintaining data ingestion pipel
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