Overview
Web Content & Graphic Publisher Jobs in Toronto, Canada at Jay Analytix
Title: Web Content & Graphic Publisher
Company: Jay Analytix
Location: Toronto, Canada
Category:
Job Title: AI Engineer (7+ Years Experience) – Contract | Banking Domain
Locations: Toronto, Montreal, Vancouver, Calgary (Canada)
Overview
We are seeking a highly skilled AI Engineer with 7+ years of experience to join a fast‑paced banking environment on a contract basis. This role focuses on designing, developing, and deploying scalable AI/ML solutions that enhance customer experience, optimize operations, and support data‑driven decision‑making. The ideal candidate brings strong technical expertise, domain knowledge in banking or financial services, and the ability to work across cross‑functional teams.
Key Responsibilities
- Design, develop, and deploy machine learning and AI models for real‑world banking use cases (fraud detection, risk modeling, personalization, NLP‑driven insights).
- Build and maintain scalable data pipelines and ML workflows using modern frameworks and cloud platforms.
- Collaborate with data scientists, engineers, product owners, and business stakeholders to translate requirements into technical solutions.
- Optimize model performance, accuracy, and scalability; monitor and retrain models in production environments.
- Implement best practices in MLOps, including CI/CD pipelines, versioning, testing, and monitoring.
- Ensure compliance with data governance, privacy, and security standards in the banking domain.
- Provide technical guidance, documentation, and mentorship where needed.
Must‑Have Skills & Experience
- 7+ years of hands‑on experience in AI/ML engineering or related roles.
- Strong programming skills in Python (and/or Java/Scala).
- Proven experience with ML frameworks such as Tensor Flow, PyTorch, or Scikit‑learn.
- Experience building and deploying models in cloud environments (AWS, Azure, or GCP).
- Solid understanding of data structures, algorithms, and software engineering best practices.
- Experience with big data technologies (Spark, Hadoop, or similar).
- Strong knowledge of MLOps practices, including model deployment, monitoring, and lifecycle management.
- Prior experience in banking or financial services, with understanding of regulatory and compliance requirements.
- Experience with SQL and working with structured/unstructured datasets.
- Strong problem‑solving skills and ability to work in agile environments.
Good‑to‑Have Skills
- Experience with Natural Language Processing (NLP), Computer Vision, or Generative AI use cases.
- Familiarity with tools like Docker, Kubernetes, and microservices architecture.
- Knowledge of real‑time data processing and streaming frameworks (Kafka, Flink).
- Exposure to risk analytics, credit scoring models, or fraud detection systems.
- Experience with feature engineering, model explainability, and ethical AI practices.
- Certification in cloud platforms or AI/ML specialization.
- Strong communication skills and ability to interact with both technical and non‑technical stakeholders.
Contract Details
- Contract role with potential extension based on performance and project needs.
- Hybrid/onsite expectations may vary by location.
This is an excellent opportunity to contribute to impactful AI initiatives within a leading banking environment while working with modern technologies and high‑performing teams.
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