Position: Data AI Engineer

Location: Mississauga, ON (Hybrid)

Employment Type: Full-Time

Experience Range: 8 Years

:
Programming: Python (expert), SQL
Generative AI & LLMs: LangChain, LangGraph, Claude/Gemini, Prompt engineering techniques
Machine Learning & Deep Learning: PyTorch, TensorFlow, Scikit-Learn, XGBoost
Vector Databases: Pgvector, Chroma
Distributed processing: Apache Spark, Apache Iceberg
MLOps & Deployment: Docker, Kubernetes/OpenShift, FastAPI
Software Engineering: Build high-performance, scalable APIs using Python (FastAPI) to expose capabilities required for the solution

Roles & Responsibilities:
We are looking for an AI Engineer to design, develop, and deploy production-grade Machine Learning and Generative AI
solutions. In this role, you will build intelligent systems—ranging from predictive ML models with entire model life cycle to




advanced applied Large Language Model (LLM) applications and Retrieval-Augmented Generation (RAG) pipelines—to
automate complex workflows and enhance user experiences. You will work closely with cross-functional teams to transition
AI models from experimental prototypes into scalable, secure, and high-performance enterprise APIs.

Generic Managerial Skills, If any:
Strong analytical, communication, stakeholder management, and leadership skills.
Ability to work effectively in Agile teams, manage multiple priorities, mentor team members, drive AI-enabled innovation, and deliver scalable data solutions in quick-paced settings.

Solid focus on collaboration, problem-solving, governance, and continuous improvement

📌 Data Ai Engineer Mississauga (Canada)
🏢 Ku0026amp;K Global Talent Solutions
📍 Canada