Lead design and implementation of GenAI platform components and secure APIs. Drive end-to-end AI development from research to production, apply DevOps for scalable deployments, collaborate with cross-functional teams, and stay current with GenAI advances to deliver customer value.
Key Job responsibilities:
- Design and implement Gen AI platform components, using Python and modern microservices.
- Collaborate with tech, product, program and business peers to deliver customer value and drive product vision.
- Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling
- Apply DevOps principles to maintain high-performance and scalable AI systems.
- Design and implement secure APIs, ensuring data protection and secure interaction with AI models.
- Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team
Experience & Qualifications
- Minimum 15+ year of experience in Software Development
- Strong understanding of Generative AI principles, including Large Language Models (LLMs), RAG techniques, Fine tuning, inference and more
- Experienced with Gen AI related python libraries and modules
- Proficiency in Python libraries and modules
- Experience with Kubernetes based continuous delivery, utilizing Jenkins, Tekton, and Docker to automate and streamline deployments
- Proficiency in Git for version control and collaboration in development workflows
- Experience in Java/GO is an advantage
- Experience with Oracle and vector databases (e.g, PostgreSQL) for data storage and retrieval is a plus
- Excellent interpersonal skills, team player with strong communications skills
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
