AI Engineer (Mississauga)

AI Engineer (Mississauga)

05 Aug
|
INRY
|
Mississauga

05 Aug

INRY

Mississauga

Cprime is an AI‑first, human‑centered partner that combines strategic consulting with industry‑leading platforms to drive innovation and efficiency. Founded in 2003, we serve more than 300 Fortune 500 companies worldwide and specialize in Atlassian, IBM Apptio, ServiceNow, cloud, data, and enterprise agility to empower intelligent enterprises that blend people and AI.

Position

AI Engineer

Location

Mississauga, ON‑Canada (Onsite)

Type of hire

Contract

Role Overview

8–10 years of relevant experience in Apps Development or systems analysis.

Core AI/ML Foundations

- Strong foundational knowledge in GenAI, Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including NLP, Neural Networks, and Large Language Models (LLMs).

Generative AI & LLM Expertise

- Extensive hands‑on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and other open‑source LLMs.
- Deep working knowledge and hands‑on experience with Retrieval‑Augmented Generation (RAG) pipelines and advanced RAG techniques.
- Proven ability to build, tune, and deploy LLM‑based applications on Vertex AI, Hugging Face, and similar platforms.
- Expertise in prompt engineering, prompt tuning, and reusable prompt templates.
- Hands‑on experience with agentic framework‑based use case implementation.
- Working knowledge of Guardrails and methodologies for assessing GenAI performance and safety.

Programming & Data Engineering

- Strong proficiency in Python, including Pandas, NumPy, scikit‑learn, PyTorch,



TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex.
- Experience integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
- Hands‑on experience with vector databases such as PG Vector, Pinecone, Mongo Atlas, Neo4j.
- Design solutions for high‑throughput processing of large unstructured datasets.

Deployment & MLOps

- Hands‑on experience deploying GenAI models to production environments.
- Strong understanding of MLOps principles, model evaluation, and deployment pipelines.
- Expertise with CI/CD tools (Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.

Cloud & Containerization

- Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud‑native environment.

Soft Skills

- Strong problem‑solving abilities and excellent collaboration skills for working effectively with cross‑functional teams.
- Ability to work independently on complex, ambiguous problems.

Equal Employment Prospect Statement

Cprime is an equal‑opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws.

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📌 AI Engineer (Mississauga)
🏢 INRY
📍 Mississauga

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