Les offres d’une même entreprise identifiée partagent une carte sur chaque page. Lorsque vous chargez la suite, ses offres sont ajoutées à la carte existante pour laisser de la place aux autres employeurs. Utilisez les flèches ou les points numérotés, ou Tout voir pour comparer ses offres chargées et accéder à la liste complète. Les pages d’entreprise affichent une carte par offre.
Vous traduirez les risques en exigences techniques concrètes, validerez les configurations et faciliterez le déploiement sécuritaire des cas d’usage approuvés; Évaluer les solutions d’IA existantes et proposées afin de…
George Weston Limited: Founded in 1882, George Weston Limited (“Weston”) is a major Canadian public company, representing Canada’s largest food and drug retail businesses…
Work Model: Minimum 4 days in the office per week; If you meet most of the qualifications listed, we encourage you to apply, even if you don’t check every box; A bachelor's degree in computer science, data science,…
6+ ans6+ years of experience implementing ML/AI models in production (classical ML, deep learning, or generative AI); 3+ years of experience in professional consulting or IT services, with proven ability to lead…
ML, AWS, Microsoft Azure, Google Cloud, Natural language processing, Forecasting
5+ ansContribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge; 5+ years of experience implementing models or machine learning algorithms into production; 3+…
ML, Natural language processing, Coaching, Machine learning, Communication skills, AWS
Senior Data and AI Architecture Experience: 8+ years in consulting, data architecture, analytics, AI, or cloud engineering, including 5+ years designing and delivering modern data…; Databricks Depth: Hands-on…
RISC Foundation (Risk and Insurance Studies Centre)
Candidates need to be current Master's or PhD students at University of Waterloo, University of Toronto, York University or Western University in a relevant field such as statistics, computer science or data science. They also need strong analytical and written communication skills, interest in generative AI and responsible AI, and proficiency in Excel, Word and PowerPoint.
2+ ansCandidates need to be final-year students or recent graduates with business-level German and English. Strong critical thinking, clear communication, curiosity about business strategy and marketing, and comfort using AI tools are expected.
Candidates need deep ServiceNow architecture and application development experience, strong JavaScript and Glide API skills, and experience with Virtual Agent, NLU, Predictive Intelligence or other SNOW AI features. Strong debugging and problem-solving abilities are also required.
3+ ansCandidates need a university degree in a technical field, 3+ years of production machine learning experience, strong Python skills, and hands-on work with ML frameworks and cloud ML platforms. Consulting communication skills and experience with GenAI, LLMs or RAG are also required.
Python, scikit-learn, TensorFlow, PyTorch, Azure ML Studio, Databricks MLflow
7+ ansXplore Inc. needs candidates with at least 7 years of analytics experience who have built production analytics applications and AI agents or RAG solutions. Required skills include Databricks, strong SQL and Python, data validation and CI/CD, and clear executive communication.
Databricks, Databricks SQL, Databricks Genie, Databricks Apps, Copilot, Claude
6+ ansCandidates need 6+ years of engineering experience, including 1-2+ years in AI platform or cloud enablement. They need experience working with InfoSec, Risk and Compliance teams, hands-on AWS and Infrastructure as Code skills, and knowledge of Gen AI models, agentic workflows and RAG architectures.
7+ ansTekshapers needs candidates with 9+ years in IT, 7+ years of Pega development and proven lead architect experience on 2 to 3 enterprise Pega implementations. Candidates need Pega Infinity knowledge, SQL tuning, security protocols and healthcare industry experience.
5+ ansDelaplex needs 5+ years of hands-on ML experience with production deployments, strong Python and SQL, and recent work with GenAI, LLM and RAG applications. Candidates must also show technical leadership and the ability to work independently through ambiguous requirements.
Nityo Infotech: Nityo is trusted by over 3000+ Enterprises across various industries including Standard Chartered Bank, DBS, Prudential, UOB, Singapore Airlines,…
6+ ansCandidates need 6 to 8 years of experience, including at least one year of hands-on AI or LLM red teaming. Nityo Infotech asks for a strong offensive security background and practical testing of LLM and GenAI solutions.
Candidates need strong Python and automation experience, hands-on Terraform and Ansible, and practical work with LLMs, RAG, MCP and agentic AI. Familiarity with LangChain, LangGraph, CrewAI or AutoGen is required.
12+ ansCandidates need 8+ years in AI/ML with at least 2 years building GenAI or LLM solutions, strong Python skills, and hands-on work with LLM platforms, RAG and vector databases. They also need experience taking AI products to production and communicating with executive stakeholders.
TJX Companies: TJX is the leading off-price apparel and home fashions retailer in the U.S.
6+ ansCandidates need 6+ years in SRE, DevOps, production support or cloud operations, with scripting skills and hands-on experience with observability tools and Azure. Experience with AIOps, GenAI and automation tools is also required.
Splunk, AppDynamics, Dynatrace, Datadog, New Relic, Azure Monitor
4+ ansCandidates need at least 4 years of hands-on AI, machine learning and NLP experience, plus a Master's or PhD in a quantitative field. They must know Python or Java, AI frameworks such as LangChain and PyTorch, Git, and be fluent in French and English.
5+ ans· Ensure delivery meets functional and non-functional requirements, including performance, scalability, reliability, security, and maintainability; · Mentor and coach engineers, sharing knowledge in information…
Legal research, API development, CI/CD, AWS, Test automation, Collaboration
Morgan Stanley: Morgan Stanley (NYSE: MS) is a leading global financial services firm providing a wide range of investment banking, securities, wealth management…
4+ ansMorgan Stanley needs at least 4 years of hands-on AI/ML/NLP experience and a Master's or PhD in a quantitative field, plus strong Python (or Java), GenAI framework and Git skills, French and English, and interest in financial markets and compliance.
6+ ansCandidates need 6+ years in SRE, DevOps, production support or cloud operations. They need hands-on experience with monitoring tools, scripting languages, automation platforms, and Azure.
Splunk, AppDynamics, Dynatrace, Datadog, New Relic, Azure Monitor
7+ ansCandidates need 7+ years of experience in external audit, internal controls over financial reporting, risk advisory or internal audit, with a bachelor's degree in accounting, finance or business. A CPA is strongly preferred, and strong stakeholder management, presentation skills and Microsoft Office proficiency are required.
Microsoft PowerPoint, Microsoft Excel, GenAI tools, Data analytics tools
1+ ansCandidates need 1 to 4 years in site reliability, DevOps, platform or software engineering on production systems, plus Python or Go, Kubernetes, a major cloud platform, and CI/CD with infrastructure as code. Familiarity with LLM applications and willingness to join an on-call rotation are also required.