Position: Data AI Engineer
Location: Mississauga, ON (Hybrid)
Employment Type: Full-Time
Experience Range: 8+ Years
Job Description:
- 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 fast-paced environments.
Strong focus on collaboration, problem-solving, governance, and continuous improvement
