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Flink Jobs in Quebec (NOW HIRING)

Jay Analytix

AI Engineer - Banking Domain

Montreal, QC · On-site

Experience with real-time ML inference (Kafka, Flink). * Bilingual English/French (asset for Montreal). * FRM or CFA designation as a complement to technical skills. HOW TO APPLY Submit your resume ...

Unitytech

Senior Data Engineer

Montreal, QC · On-site

Maitriser les technologies de diffusion de donnees en continu, comme Kafka et Flink * Travailler de maniere autonome tout en etant efficace au sein d'une equipe * Avoir de l'experience aupres de ...

Jay Analytix

AI Engineer - Banking Domain

Montreal, QC · On-site

Experience with real-time ML inference (Kafka, Flink). * Bilingual English/French (asset for Montreal). * FRM or CFA designation as a complement to technical skills. HOW TO APPLY Submit your resume ...

Unitytech

Senior Software Engineer

Montreal, QC

Maitrise des technologies de diffusion de donnees en continu, telles que Kafka et Flink * Capacite a travailler de maniere autonome et efficace dans un contexte d'equipe * Experience aupres de ...

AlayaCare

Staff Data Developer

Montreal, QC

Experience with streaming technologies such as Kafka, Kinesis, and Flink. * Familiarity with Docker and Kubernetes. * Expertise in dimensional data modeling and semantic layer design. * Strong ...

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Flink information

What are Flink jobs?

Flink jobs are user-defined programs that run on Apache Flink, an open-source stream processing framework. These jobs process data in real-time or in batches, allowing organizations to analyze, transform, or aggregate large volumes of data efficiently. Flink jobs are written in languages like Java, Scala, or Python and can be used for a variety of applications such as event-driven analytics, real-time monitoring, and data pipeline processing. They can be deployed on clusters to handle large-scale data processing with low latency and high throughput.

How to start a Flink job?

To start a Flink job, you need to package your application as a JAR file and submit it to a Flink cluster using the command line interface, typically with the 'flink run' command. Ensure your environment is set up with Java and Flink installed, and that your job code is properly configured for the cluster environment. Monitoring and debugging can be done through Flink's web dashboard or logs.

What is the difference between Flink vs Kafka Streams?

AspectFlinkKafka Streams
Primary UseDistributed stream processing framework for large-scale data processingClient library for real-time stream processing within Kafka
Deployment EnvironmentCluster-based, supports standalone and cloud deploymentsEmbedded within Java applications, runs on client machines
ComplexityRequires setup of cluster and infrastructureSimpler to integrate with existing Kafka setup
Use CasesComplex event processing, large-scale analyticsReal-time data transformation, lightweight processing

Flink and Kafka Streams are both popular stream processing tools, but Flink is suited for large-scale, complex processing across clusters, while Kafka Streams is ideal for lightweight, real-time processing within Kafka environments. Your choice depends on processing complexity and deployment needs.

What are some common challenges faced by Apache Flink developers and how can they be overcome?

Apache Flink developers often encounter challenges such as handling stateful stream processing at scale, ensuring low-latency data flows, and managing the complexities of distributed systems. Addressing these issues typically involves careful job design, leveraging Flink's checkpointing and state management features, and optimizing resource allocation. Collaborating closely with DevOps and data engineering teams can also help in troubleshooting deployment and performance bottlenecks, ensuring smooth operation in production environments.

What is a Flink job?

A Flink job is a program written using Apache Flink, an open-source framework for distributed stream and batch data processing. It involves defining data sources, transformations, and sinks to process large-scale data in real-time or batch mode, often requiring knowledge of Java or Scala and familiarity with Flink's APIs and environment.

What are the key skills and qualifications needed to thrive as an Apache Flink developer?

To thrive as an Apache Flink Developer, you need strong programming skills (typically in Java or Scala), a solid understanding of distributed systems, and experience with real-time data processing frameworks, preferably backed by a relevant degree in computer science or engineering. Familiarity with Flink’s APIs, stream processing concepts, and integration with tools like Kafka, Hadoop, or AWS, as well as certifications in big data technologies, are highly valuable. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with teams and troubleshooting complex data workflows. These skills are crucial for building scalable, reliable, and efficient data pipelines that drive real-time analytics and business decisions.

What does Flink do?

A Flink job involves developing and maintaining real-time data processing applications using Apache Flink, an open-source stream processing framework. It requires skills in Java or Scala, understanding of distributed systems, and familiarity with data streaming concepts to efficiently process large-scale data in real-time environments.
What are popular job titles related to Flink jobs in Quebec? For Flink jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Flink jobs in Quebec look for? The top searched job categories for Flink jobs in Quebec are:
Flink jobs near you
Infographic showing various Flink job openings in Quebec as of August 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

AI Engineer - Banking Domain

Jay Analytix

Montreal, QC • On-site

Contractor

Re-posted 14 days ago

Job description


Engagement

Contract - 12 months, renewable

Domain

Banking & Financial Services

Locations

Toronto, ON | Montreal, QC | Vancouver, BC | Calgary, AB

Work Model

Hybrid

Start

Immediate


ABOUT THE ROLE

We are looking for an experienced AI Engineer to design and deliver production-grade machine learning and generative AI solutions within a major Canadian bank. You will work across fraud detection, credit risk, regulatory compliance, and customer analytics, partnering with data, engineering, and compliance teams to bring AI from prototype to production.

KEY RESPONSIBILITIES

  • Build and deploy ML and GenAI solutions for banking use cases (fraud, AML, credit scoring, customer analytics).
  • Design LLM-based applications including RAG pipelines and document intelligence for internal workflows.
  • Implement MLOps best practices: model versioning, CI/CD, monitoring, and drift detection.
  • Ensure compliance with OSFI model risk guidelines, PIPEDA/CPPA, and internal governance frameworks.
  • Communicate model performance and business impact to technical and non-technical stakeholders.

MUST-HAVE

  • 7+ years in AI/ML engineering, with 3+ years in banking or financial services.
  • Advanced Python skills: PyTorch/TensorFlow, Scikit-learn, Pandas.
  • Hands-on MLOps experience: MLflow, Kubeflow, Azure ML, or SageMaker.
  • LLM/GenAI development: OpenAI, Azure OpenAI, LangChain, RAG architectures.
  • Cloud proficiency: Azure (preferred), AWS, or GCP.
  • Knowledge of OSFI E-23 model governance, PIPEDA, and explainable AI for audits.
  • Experience with SQL and distributed data platforms (Spark, Databricks, or Snowflake).

GOOD TO HAVE

  • Azure AI-102, AWS ML Specialty, or Google Professional ML Engineer certification.
  • Exposure to IFRS 9, Basel III, or Open Banking frameworks.
  • Experience with real-time ML inference (Kafka, Flink).
  • Bilingual English/French (asset for Montreal).
  • FRM or CFA designation as a complement to technical skills.

HOW TO APPLY

Submit your resume, preferred location, and available start date. Canadian work authorization required.


Employment Type: CONTRACTOR

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