What You'll DoDesign and implement end-to-end AI features that integrate machine learning models, algorithms, and inference services into production applications while collaborating with technology stakeholders.Develop APIs and backend services using Node.Js and/or Python (FastAPI/Flask) to operationalize trained models.Translate experimental ML outputs into stable, user-facing functionality while adhering to technical stakeholder requirements.Implement deployment patterns for ML models using containerization and CI/CD workflows.Integrate services built with TensorFlow, PyTorch, or scikit-learn models into scalable application layers.Develop and optimize AI-driven workflows, including retrieval‑augmented generation (RAG), vector search, and agentic tool execution frameworks.Build responsive interfaces using React/Next.Js and TypeScript to support AI features.Design UI states that communicate model progress, confidence indicators, and safe failure modes.Independently own small AI features from design through release.Participate in code reviews, write automated tests, and maintain documentation.Basic QualificationsBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).1–3 years of hands‑on experience building software systems that integrate machine learning models or AI services.Demonstrated experience with model experimentation, training support, and deployment to production environments.Proficiency in TypeScript, React/Next.Js, Node.Js, and/or Python.Experience with ML frameworks such as TensorFlow, PyTorch, or scikit‑learn.Familiarity with orchestration libraries such as LangChain/LangGraph,



Strands Open AI Agents SDK/Swarm.Preferred QualificationsExposure to containerization (Docker) and cloud environments (AWS/Azure/GCP).Familiarity with vector databases and AI observability tooling.Strong product sense and user empathy with a bias toward shipping.Detail‑oriented, collaborative, and growth‑minded.Comfortable learning new domains, including foundational agentic AI concepts, with mentorship and clear scope.BenefitsCulture of innovation, empowerment, decision‑making, and accountability.Comprehensive health and welfare benefits that support you and your family.Paid time‑off programs (vacation, sick leave, and holidays).Location and SalaryLocation: TorontoHiring base salary range: $76,300 – $104,900 per year.Actual compensation will depend on skills, experience, equity, and market alignment.Salary ranges are disclosed only for candidates hired to perform work within this geographic location.Equal Opportunity and AccommodationsElement Fleet Management and its wholly owned subsidiaries are an equal prospect employer committed to diversity, equity, inclusion, and belonging. We consider all qualified applicants without regard to race, color, religion, genetic information, sex, gender identity, sexual orientation, age, marital status, family status, ancestry, national origin, citizenship, physical or mental disability, veteran status, military obligations, or any other characteristic protected by federal, state, and local laws.Disability‑related accommodations are available during the application and interview process. Please contact [email protected] or call (800) 665‑9744 to request an accommodation.#J-18808-Ljbffr

📌 Applied Ai Specialist – Ai Solutions - C$76,300 - C$104,900 A Year (Winnipeg)
🏢 Element Fleet Management
📍 Winnipeg