We are looking for AI/ML Data Engineer for our client in Toronto, ON
Job Title: AI/ML Data Engineer
Job Location: Toronto, ON
Job Type: Contract
Job Overview:
Requirement/Must Have:
- 8+ years of Data Engineering experience including experience within Wealth Management or Financial Institutions.
- Strong expertise with Snowflake, Databricks, Apache Spark, PySpark and modern cloud data platforms.
- Advanced Python development for data pipelines, AIML solutions, automation and API integrations.
- Experience building scalable ETL/ELT frameworks using dbt, DataStage, SQL and cloud-native technologies.
- Hands-on experience with AWS services including S3, Lambda, SNS, IAM and cloud data architectures.
- Experience with Kafka, Kinesis, Snowpipe, REST APIs and real-time data ingestion frameworks.
- Deep SQL expertise including performance tuning, data modeling, warehousing and analytics engineering.
- Experience developing ML models for forecasting, customer analytics, attrition prediction or financial analytics.
- Knowledge of GenAI RAG architectures, Vector Databases, LangChain, LLM integration and document intelligence solutions.
- Experience with Airflow, Autosys, CI/CD pipelines, Terraform, Kubernetes, Docker and MLOps practices.
- Strong understanding of data governance, data quality, security, compliance and financial reporting requirements.
- Excellent stakeholder management and ability to work with business, technology and data leadership teams.
Responsibilities:
- Design and implement enterprise-scale data platforms supporting Wealth.
- Build and optimize data ingestion, transformation and analytics pipelines processing high-volume financial data.
- Develop AIML and GenAI solutions that improve client insights, operational efficiency and decision support.
- Implement robust data quality, observability, monitoring and governance controls.
- Support cloud modernization, migration and architecture initiatives.
- Collaborate with business stakeholders and technology teams to translate requirements into scalable solutions.
- Lead technical design discussions and provide mentorship to junior engineers.
Nice to Have:
- Experience working with Wealth Management platforms, investment products, portfolio analytics and market data.
- Exposure to Elasticsearch, FAISS, Snowpark, Redshift, Aurora and DB2.
- Experience converting legacy SAS/DataStage workloads into Spark or cloud-native architectures.
- Knowledge of Power BI, QuickSight, Tableau or enterprise reporting platforms.
- Experience implementing enterprise GenAI and AI governance frameworks.
- MBA or advanced degree in Business, Data Science, Engineering or related field.
- AWS and/or cloud certifications.
Skills:
- Snowflake.
- Databricks.
- Apache Spark.
- PySpark.
- Python.
- AWS.
- SQL.
- ETL/ELT.
- dbt.
- Kafka.
- Kinesis.
- Airflow.
- ML/AI.
- GenAI.
- RAG.
- LangChain.
- LLM.
- MLOps.
- Terraform.
- Kubernetes.
- Docker.
Qualification And Education:
- 8+ years of Data Engineering experience.
- Experience within Wealth Management or Financial Institutions.
==
Benefits
Our Benefits Include:
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.
About Cynet Systems
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
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