Opens an external site
- Employment type
- Full-time
- Experience level
- Mid-level · 2+ years
- Posting language
- English
- Working hours
- 40 hours per week
Job summary
Design, develop, test, and deploy artificial intelligence solutions including machine learning and generative AI to meet business needs. Collaborate with cross-functional teams to integrate these solutions into existing systems while ensuring performance, security, and adherence to responsible AI principles.
Job details
Company Description Wepoint is the architect of major transformations for businesses and public sector organizations. We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). Our goal is to create new ways of working, new economic models, and smarter environments. In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region. What We Are Looking For COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE Do these words resonate with you? They are our company values. At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve. At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients — this is what we expect from our future colleagues. Description du poste Nous sommes à la recherche d'un(e) Développeur(se) en IA pour rejoindre notre équipe. Responsabilités Conevoir, développer, tester et déploier des solutions d’intelligence artificielle (apprentissage automatique, IA générative, agents intelligents, automatisation) répondant aux besoins d’affaires; Collaborer avec les analystes, les architectes et les équipes de données pour intégrer ces solutions aux systèmes existants, en assurer la performance, la sécurité et la fiabilité en production, et veiller au respect des principes d’IA responsable et des standards de l’organisation. Qualifications 2 à 5 ans d'expérience pertinentel Maîtrise de langages de programmation tels que Python et des cadres d’apprentissage automatique; Expérience en IA générative (grands modèles de langage, ingénierie de requêtes, RAG, agents); Connaissance des plateformes infonuagiques et des services d’IA (ex. : Azure AI, Azure OpenAI, Copilot Studio); Maîtrise des pratiques MLOps / LLMOps, de l’intégration par API et du déploiement en production; Connaissance des principes d’IA responsable, de sécurité et de protection des données; Capacité à vulgariser des concepts techniques et à collaborer avec des équipes multidisciplinaires. Seuls les candidat(es) légalement autorisés(ées) à travailler pour tout employeur au Canada seront considérés(ées). Wepoint Benefits Minimum of 3 weeks of vacation starting from the first year; Comprehensive group insurance with a generous employer contribution; Employer contribution to a group RRSP; Full remote work flexibility: Hybrid, Remote, or On-site; A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.; Annual IT equipment budget; A balanced work environment with flexible working hours; Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.; An international community of experts ready to share their knowledge; A company culture focused on individuals’ needs and their belonging to a strong community. #tech&security Permis CNESST : AP-2504754, AP-2504755, AR-2504756
What you’ll do
Design, develop, test, and deploy artificial intelligence solutions including machine learning and generative AI to meet business needs. Collaborate with cross-functional teams to integrate these solutions into existing systems while ensuring performance, security, and adherence to responsible AI principles.
Requirements
Candidates must have 2 to 5 years of relevant experience and proficiency in Python and machine learning frameworks. Strong knowledge of generative AI, MLOps, and cloud-based AI platforms is required, along with the ability to communicate technical concepts effectively.
Benefits
- 3 weeks of vacation
- Comprehensive group insurance
- Group RRSP contribution
- Flexible work arrangements
- Annual IT equipment budget
- Flexible working hours
- Career development
- Training and certifications
Listed skills
- Machine learning · Preferred
- prompt engineering · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- Machine learning
- Generative AI
- Large language models
- Prompt engineering
- RAG
- Intelligent agents
- Azure AI
- Azure OpenAI
- Copilot Studio
- MLOps
- LLMOps
- API integration
- Data protection
- Technical communication
- Artificial Intelligence
- Courage
- Application Programming Interface (API)
- Python (Programming Language)
- Microsoft Azure
- Proactivity
- Digital Transformation
- MLOps (Machine Learning Operations)
- Microsoft Copilot Studio
- Economic Modeling
Job areas
- Technology
- Software
- Data & Analytics
- Consulting
- Unclassified
- Artificial Intelligence Engineer (General)
- Software Developers
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