Senior Machine Learning Developer

Royal Bank of Canada • Toronto, ON

15h • Onsite

About The Position

As a Senior ML Developer at RBC, you’ll spearhead the operationalization of advanced machine learning (ML), User Behavior Analytics (UBA) and GenAI solutions within SIAI (Security Insights and AI) team. In this role, you’ll address the escalating threats in our global digital landscape by leveraging ML and Big Data technologies to model and predict behaviors, enabling proactive threat detection and response. You may also contribute to next-gen autonomous/semi-autonomous AI platforms, integrating large language models (LLMs) and GenAI to enhance detective/preventive controls, operational efficiency, and regulatory compliance.
You’ll guide design process, and help deploy scalable ML pipelines/agentic systems to deliver production-grade AI solution for Cyber, Fraud, Risk, and Security utilize on-prem/cloud-native tools (GPU AI Farm, Neo4j, Kubernetes, Docker, AWS/Azure) to maintain robust, secure, and compliant production environments.

Requirements

• 2+ years of experience, and advanced programming skills of the following languages: Python, PySpark, Unix Scripting, SQL, PyTorch etc.
• Strong experience building data pipelines and APIs with Spark, Airflow, Neo4j, SQL (Snowflake, Postgres), and NoSQL (MongoDB); experience with REST, FastAPI/Django.
• Hands-on experience with Neo4j and cypher graph query language or other similar graph db.
• Foundational knowledge of general Machine Learning concepts both in theory and application and some experience with advanced topics like Deep Learning, Agentic Ai and Agent Orchestration etc.
• Experience with data preprocessing, image processing, hyperparameter optimization, code optimization feature importance analysis, transfer learning, and anomaly/outlier detection.
• Experience developing CI/CD pipeline for AI/ML models, deploying, and supporting models in production.

Nice To Haves

• Familiarity with AWS cloud environments services (Lambda, SageMaker, Bedrock, etc).
• Hands -on experience deploying LLMs, RAG systems, agent orchestration frameworks (e.g., LangChain, CrewAI, AutoGen), or agentic AI into production, and context engineering for autonomous workflows.
• Familiarity with atleast one workflow/AI agent orchestration platforms like CrewAI, LangGraph, N8N, etc.
• Understanding of modern observability stacks (Grafana, Prometheus, OpenTelemetry) and secure coding practices (SAST/DAST).

Responsibilities

• Engineer and maintain scalable data pipelines and workflows using PySpark, AWS SageMaker, Airflow, JupyterHub, RunAI, Neo4j.
• Build pipeline to integrate ML/UBA detections into a graph knowledgebase (Neo4j) to enable event correlation and run analytical query.
• Optimize Spark job performance through advanced tuning, resource management, and cost-efficient scalability. Deploy batch and real-time inference models with robust monitoring.
• Deploy, manage, and optimize ML and Agentic applications across multiple platform such as Cloudera Data Lake, Neo4j Graph DB, AWS, OpenShift Container Platform (OCP), using Helios on Actions CI/CD pipeline.
• Apply and advocated for best practices in secure coding and MLOps CI/CD automation (Docker, Kubernetes, OpenShift, GitHub Actions, Jenkins), traceability (Langfuse) and observability (Prometheus, Grafana).
• Contribute to code reviews, collaborate with data scientists and engineers, front and backend engineers and ML engineers, and maintain clear technical documentation.
• Champion best practices in AI safety, privacy, regulatory compliance, and autonomous system guardrails, including model monitoring, fallback mechanisms, and secure deployment in regulated environments.

Benefits

• 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
• Opportunities to take on progressively greater accountabilities.
• Access to a variety of job opportunities across business and geographies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed