AI/ML Data Engineer

• Job Title: AI/ML Data Engineer
• Location: Toronto, ON
• Work Model: Hybrid – 4 Days Onsite
• Interview: F2F may be required
• Experience: 8+ Years
• Domain: Wealth Management / Financial Services

We are seeking an experienced AI/ML Data Engineer with strong expertise in Wealth Management and Financial Services to design and build modern cloud-based data platforms, scalable data pipelines, ML solutions, and GenAI applications.

• Required Skills
• 8+ years of Data Engineering experience, preferably within Wealth Management or Financial Services
• Strong expertise in Snowflake, Databricks, Apache Spark, PySpark
• Advanced Python development for data pipelines, ML/AI solutions and API integrations
• Strong SQL, data modeling, performance tuning and data warehousing
• Hands-on experience with AWS – S3, Lambda, SNS, IAM
• Experience with Kafka, Kinesis, Snowpipe, REST APIs and real-time data ingestion
• ETL/ELT experience with dbt, DataStage and cloud-native technologies
• Machine Learning experience including forecasting, customer analytics, attrition prediction or financial analytics
• GenAI, RAG, Vector Databases, LangChain and LLM integration
• Experience with Airflow, Autosys, CI/CD, Terraform, Kubernetes, Docker and MLOps
• Strong understanding of data governance, data quality, security, compliance and financial reporting

• Nice to Have
• Wealth Management platforms, investment products, portfolio analytics or market data
• Elasticsearch, FAISS, Snowpark, Redshift, Aurora or DB2
• SAS/DataStage modernization to Spark or cloud-native platforms
• Power BI, QuickSight or Tableau
• Enterprise AI/GenAI governance experience
• AWS or other cloud certifications

Responsibilities

• Design and implement enterprise-scale data platforms supporting Wealth Management
• Build and optimize high-volume financial data ingestion and transformation pipelines
• Develop AI/ML and GenAI solutions for client insights and decision support
• Implement data quality, observability, monitoring and governance
• Support cloud modernization and migration initiatives
• Collaborate with business, technology and data leadership teams
• Lead technical design discussions and mentor junior engineers