Generative AI Engineer--AMADC5799244

Compunnel Inc.
Toronto, CA; US
HybridCareer-pivot friendly

Why this role

Pace
Fast Paced
Collaboration
Medium
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • building-intelligent-systems
  • translating-technical-solutions-into-business-outcomes
Typical background
master's-degree-in-computer-science-or-related-field7+years-of-experience-in-machine-learning

Transferable backgrounds

  • Coming from data-scientist
  • Coming from machine-learning-engineer

Skills & requirements

Required

PythonGitHubMachine-learning-fundamentalsLarge-language-modelsAzureDatabricks

Preferred

MlopsRetrieval-augmented-generation

Stack & domain

PythonGitHubExploratory Data Analysis (eda)Feature EngineeringModel Training, Testing, And EvaluationPrompt EngineeringContext EngineeringLlm GuardrailsMicrosoft AzureDatabricks

About the role

Original posting from Compunnel Inc. via LinkedIn

Data Scientist/ Generative AI Engineer

Location: Toronto ON/ Hybrid

Experience: 7+Years

About the Role

We are looking for a hands-on Data Scientist/ AI Engineer with a strong foundation in Machine Learning and emerging experience in Generative AI. This role focuses on building intelligent systems using LLMs, solving real business problems, and translating technical solutions into clear business outcomes.

You will work across ML, Gen AI, and business problem-solving to deliver scalable and production-ready solutions.

Must-Have Skills

  • Strong Python skills (mandatory)
  • Experience with GitHub / Git
  • Solid understanding of Machine Learning fundamentals:
  • Exploratory Data Analysis (EDA)
  • Feature Engineering
  • Model training, testing, and evaluation
  • Experience with Large Language Models:
  • Prompt Engineering
  • Context Engineering
  • LLM Guardrails
  • Exposure to Microsoft Azure
  • Experience with Databricks

Nice-to-Have Skills

  • Experience with MLOps (CI/CD, model deployment, monitoring)
  • Experience building Retrieval-Augmented Generation (RAG) pipelines

Source: Compunnel Inc. careers (LinkedIn)

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