IT Solutions Architect
Apply NowCompany: Aversan
Location: Saint-laurent, QC H4K 1H9
Description:
IT Solutions Architect
Aversan Inc. ( www.aversan.com ) is a trusted multi-service engineering and electronics manufacturing company. Aversan delivers leading-edge and reliable safety-critical electronics and software systems to the aerospace, defence, and space industries.
We are currently seeking a qualified IT Solutions Architect. The role involves designing and implementing scalable IT solutions that integrate Big Data, AI, and MLOps, enabling efficient data processing, AI-driven insights, and streamlined machine learning operations for optimized business performance.
Location: St. Laurent, QC
Job Type: Hybrid
Responsibilities
Basic Qualifications
Aversan Inc. ( www.aversan.com ) is a trusted multi-service engineering and electronics manufacturing company. Aversan delivers leading-edge and reliable safety-critical electronics and software systems to the aerospace, defence, and space industries.
We are currently seeking a qualified IT Solutions Architect. The role involves designing and implementing scalable IT solutions that integrate Big Data, AI, and MLOps, enabling efficient data processing, AI-driven insights, and streamlined machine learning operations for optimized business performance.
Location: St. Laurent, QC
Job Type: Hybrid
Responsibilities
- Architecture Design: Develop scalable, end-to-end solutions that integrate big data and AI to solve complex business problems.
- Big Data Expertise: Provide technical guidance on big data platforms, covering ingestion, storage, processing, and analytics.
- AI Integration: Architect AI-powered solutions by implementing machine learning and deep learning models to enhance decision-making and automation.
- MLOps Implementation: Establish and maintain MLOps pipelines for seamless deployment, monitoring, and lifecycle management of ML models in production.
- Collaboration: Work closely with data scientists, engineers, and business stakeholders to align technical solutions with business objectives.
- Technical Leadership: Mentor teams and promote best practices in big data, AI, and MLOps adoption.
- Continuous Learning: Stay updated with emerging technologies and assess their relevance for improving business operations.
Basic Qualifications
- Certifications in relevant areas such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure AI Engineer Associate.
- Experience with containerization technologies such as Docker and Kubernetes, and their application in AI and MLOps workflows.
- Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).