Toronto On Ml engineer Jobs – 376 Openings This Week

Technology Lead - GenAI Lead
Infosys —Mississauga, ON
- $92,740–$123,375 a year
- Azure
- Computer Science
- DevOps
Quick apply
AI Engineer Intelligent Systems & Analytics
QMC Metering Solutions —North York, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Wellness program
- Commuter benefits
Quick apply
Lead Agentic AI Engineer – VP (Mississauga)
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Azure
- Oracle
- Java
2d
Lead Software Engineer
CorGTA —Toronto, ON
- $150,000–$170,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- ERP systems
2h
Senior Java Engineer – Agentic AI Driven Development - Senior Vice President
Citi —Mississauga, ON
- $145,100–$217,700 a year
- Full-time
- Oracle
- DevOps
- Java
2d
Python Application Developer, AVP
Citi —Mississauga, ON
- $94,300–$141,500 a year
- Full-time
- Project management
- Bachelor's
- No university degree
2d
ML Engineer (BFSI) - MLEBAS
NavitasPartners —Mississauga, ON
- From $30 an hour
- Computer Science
- Master's degree
- SQL
Quick apply
2h
AI Engineer/FDE/Data Scientist
Kiln AI —Greater Toronto Area, ON
- $80,000–$150,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- Engineering
Quick apply
3d
AI/ML Platform Engineer (Azure & GCP)
Intone Networks —Toronto, ON
- Azure
Frontend Software Engineer - Native Apps
Snowflake —Toronto, ON
- Software development
- APIs
- Python
7d
Backend Software Engineer - Native Apps
Snowflake —Toronto, ON
- Java
- Software development
- APIs
Software Engineer, ML Ops
AeroVect —Toronto, ON
- $123,828–$154,785 a year
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
ML Performance Benchmarking Engineer
Cerebras Systems —Toronto, ON
- Engineering
- Master's degree
- Analysis skills
ML Engineer
Human Computer Lab —Toronto, ON
- Full-time
- Hybrid work
- C++
- Machine learning
- AI
Quick apply
Machine Learning Engineer (Toronto)
Fitch Group —Toronto, ON
- $100,000–$130,000 a year
- Azure
- Computer Science
- AWS
14d
Software Engineer, ML Infrastructure
Serve Robotics —Toronto, ON
- $155,000–$190,000 a year
- Full-time
- Remote
- Computer Science
- Engineering
- Master's degree
AI ML Engineer
Tata Consultancy Services —Mississauga, ON
- Azure
- Computer Science
- Data analysis skills
6d
Sr Data & ML Engineer, MTS 1
eBay Inc. —Toronto, ON
- $142,400–$190,100 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid time off
Frontend Engineer, New Products
EvenUp —Toronto, ON
- $161,500–$218,500 a year
- Full-time
- Hybrid work
- DevOps
- Machine learning
- Python
- Designated paid holidays
- Disability insurance
Software Development Engineer II
Fulfil.IO Inc. —Toronto, ON
- $105,000–$140,000 a year
- Immediate opening
- Hybrid work
- Project management
- Bachelor's
- APIs
- Paid time off
Quick apply

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ml engineer jobs near toronto on

Technology Lead - GenAI Lead

Infosys -
Mississauga, ON

Quick apply

Job details

$92,740–$123,375 a year

Qualifications

CI/CD
Azure
Law
Computer Science
React
PyTorch
DevOps
Google Cloud Platform
Databases
AWS
Docker
Bachelor's
Terraform
REST
Angular
GitHub
APIs
GraphQL
Flask
AI
Jenkins
TypeScript
Python
HTML

Full job description

Infosys is seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. This role is ideal for a mid-level engineer with strong technical depth, a passion for building, and the ability to lead small teams or workstreams in a fast-paced, innovation-driven environment.
Required Qualifications

Candidate must be located within commuting distance of Mississauga, ON (Canada) or be willing to relocate to the area.
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time
Bachelor’s degree in Computer Science, AI/ML, or related field.
5 years of experience in software engineering or data science, with 2–3 years in Gen AI or LLM-based systems.
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).
Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search).\\
Familiarity with cloud platforms and Gen AI services (AWS, Azure, GCP).
Experience with REST API development (FastAPI, Flask) and containerization (Docker).
Solid understanding of AI governance, model safety, and prompt engineering.

Key Responsibilities

Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).
Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT.
Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search.
Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
Work with unstructured data (PDFs, HTML, audio, images) and multimodal models.
Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking.
Evaluate model performance using tools like RAGAS, DeepEval, and FMeval.
Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions.
Mentor junior engineers and contribute to code reviews, design discussions, and best practices.

Preferred Qualifications:

Exposure to agentic workflows and autonomous agents.
Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform).
Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs.
Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems.
Experience with multimodal models and perception systems (e.g., vision + language).

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face-to-face.

Estimated annual compensation range for the candidate based in the below location will be:
Ontario: $ 92740 to $ 123375

Quick apply

Refine Your Search

ml engineer jobs in toronto on

Technology Lead - GenAI Lead

AI Engineer Intelligent Systems & Analytics

Lead Agentic AI Engineer – VP (Mississauga)

Lead Software Engineer

Senior Java Engineer – Agentic AI Driven Development - Senior Vice President

Python Application Developer, AVP

ML Engineer (BFSI) - MLEBAS

AI Engineer/FDE/Data Scientist

AI/ML Platform Engineer (Azure & GCP)

Frontend Software Engineer - Native Apps

Backend Software Engineer - Native Apps

Software Engineer, ML Ops

ML Performance Benchmarking Engineer

ML Engineer

Machine Learning Engineer (Toronto)

Software Engineer, ML Infrastructure

AI ML Engineer

Sr Data & ML Engineer, MTS 1

Frontend Engineer, New Products

Software Development Engineer II

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