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Added 9 days ago
UC
AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
We are seeking an experienced AI Developer (Mid to Senior Level) to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions.…
Added 9 days ago
SF
Senior AI Engineer
Safe Fleet
Coquitlam, BC
- Full-time
We are looking for a hands-on Senior AI Engineer to build the platform that makes that possible - the shared services, agent framework, standards and tooling that allow every engineer on…
Added 9 days ago
T
Manager, Advanced Analytic, Insurance Model Validations (Quants)
TD
Toronto, ON
- Full-time
The position reports to Senior Manager, Insurance Model Validation. Detailed accountabilities include:
Added 9 days ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Added 9 days ago
ET
AVP, Lead Software AI Engineer
Encore Technical Solutions Inc.
Toronto, ON
- Full-time
Approximately ten years of professional software development experience, including substantial experience delivering AI or machine learning solutions in production environments.
Added 9 days ago
W
Machine Learning Scientist III - Customer Service AI
Wayfair
Toronto, ON
- $211,914 to $225,158.5 CAD / year
- Full-time
Wayfair is seeking a high-impact Machine Learning Scientist III to lead the research, technical strategy, and production deployment of next-generation Generative AI and agentic systems for…
Added 9 days ago
G
Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
Experience with Databricks, including its data, machine learning, or deployment workflows.
Added 9 days ago
T
Technical Lead AI Delivery
TechDoQuest
Brampton, ON
- Contract
5+ years in solution architecture, technical lead, or senior development roles.
Added 9 days ago
N
Artificial Intelligence (AI) Governance Specialist
NuEnergy.ai
Ottawa, ON
- Full-time
…Trust Process, a powerful AI Trust Platform (the NuEnergy.ai Machine Trust Platform™), and mentoring by a knowledgeable AI Trust Faculty. Founded in 2018, NuEnergy.ai serves global AI…
Added 9 days ago
C
Manager, AI Platforms (Permanent)
CoreFactor
Toronto, ON
- Full-time
…enterprise AI and data platforms, including generative AI, machine learning, enterprise search, AI agents and AI-enabled…
Added 9 days ago
Y
Technical Lead - AI Delivery
Yochana
Brampton, ON
- Contract
5+ Years in solution architecture, technical lead, or senior development roles.
Added 9 days ago
CI
Manager, AI Platforms (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Full-time
…enterprise AI and data platforms, including generative AI, machine learning, enterprise search, AI agents and AI-enabled…
Added 9 days ago
V
Staff Software Developer, Simulation / Développeur(se) logiciel principal(e), Simulation
Vention
Montreal, QC
- Full-time
…who grow through meaningful work, solving complex challenges, learning fast, and seeing the results of our efforts every…
Added 9 days ago
Director, Network & Security AI and Automation
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
…and operational analytics, with the ability to apply AI and machine learning to appropriate operational use…
Added 9 days ago
W
Manager, Machine Learning Engineering - Agent Factory (
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 9 days ago
T
Senior Manager, Advanced Analytic, Insurance Model Validations (Quants)
TD
Toronto, ON
- Full-time
…for Insurance and share knowledge with business partners and senior…
Added 9 days ago
T
Manager, Advanced Analytic, Insurance Model Validations (Quants)
TD
Toronto, ON
- Full-time
The position reports to Senior Manager, Insurance Model Validation. Detailed accountabilities include:
Added 9 days ago
T
Data Scientist I (Quants) – Insurance Model Validation
TD
Toronto, ON
- Full-time
The position reports to Senior Manager, Insurance Model Validation. Detailed accountabilities include:
Added 9 days ago
M
Senior Forward Deployed Specialist
McKesson
Mississauga, ON
- Full-time
Added 9 days ago
Senior AI Engineer
Guidepoint
Toronto, ON
Experience with Databricks, including its data, machine learning, or deployment workflows.
Added 9 days ago
Senior Data Scientist
Helcim Inc
Calgary, AB
…infrastructure, and resources of an established company. As a Senior Data Scientist, you will step into an environment primed for advanced data…
Added 9 days ago
C
Customer Success Manager, Public Sector & Defence
Cohere
Ottawa, ON
- $150,000 to $215,000 CAD / year
- Full-time
Build deep, trusted relationships with senior government stakeholders, including Deputy Ministers, CIOs, ADMs, digital transformation leads, and departmental executives
Added 9 days ago
Sr. Consultant - Cloud Infrastructure Architect | Conseiller senior – Architecte d'infrastructure infonuagique, Public Sector | secteur public
Amazon
Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
Added 9 days ago
Software Developer, Data Engineering
Robinhood
Toronto, ON
…optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power…
Added 9 days ago
V
Senior Application Engineer - Robotics / Ingénieur(e) d’applications principal(e) – Robotique
Vention
Montreal, QC
- Full-time
…who grow through meaningful work, solving complex challenges, learning fast, and seeing the results of our efforts every…

Hays

Senior WMS Implementation Engineer

Canada

$95 to $100 CAD / hour · Contract

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Job details

Pay: $95 to $100 CAD / hour
Job type: Contract
Experience: 0-3+ years’ experience in developing and implementing data science techniques
Posting language: English
Posted: Oct 29, 2026

Original job description

Job Title: Data Scientist

Location: Toronto, ON (Hybrid 3 days onsite)

Duration: 12 Months contract with possibility of extension

Pay Rate: $95-100/hour CAD on Inc.

Job Description:

Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Key Responsibilities:

Data Science and Machine Learning

Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand
Work in cross-functional teams to develop ML/data science products, including GenAI applications
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs

GenAI & Agentic AI Development

Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
Implement AI bots/agents with advanced reasoning capabilities and tool use patterns
Work with vector databases and embedding models to build intelligent information retrieval systems

Technical Leadership & Collaboration

Break down broader data science development milestones into actionable goals, activities, and work plans
Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
Champion continuous improvement and foster innovation within the analytics communications.

Required Qualifications:

Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
0-3+ years’ experience in developing and implementing data science techniques
Proficient in Python for data science and GenAI application development
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
Proficiency in machine learning including supervised and unsupervised models
Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
Strong understanding of APIs, microservices architecture, and cloud-native development
Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities
Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models
Experience with chatbot development concepts and conversational AI design
Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
Effective and concise oral and written storytelling and insights communication skills
Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
Proven ability to mentor and guide junior data scientists and data engineers
Strong problem-solving abilities and analytical skills with keen attention to detail

Nice to Have:

Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.

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More about this job

Responsibilities

Develop and implement data science and machine learning solutions, including generative AI applications, agents, chatbots, and intelligent retrieval systems. Lead technical planning and design, collaborate with stakeholders, communicate findings, and support continuous improvement across analytics initiatives.

Requirements

Requires a bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, along with experience developing data science techniques. Candidates should have strong Python, SQL, PySpark, machine learning, generative AI, RAG, API, and cloud-native development skills, as well as communication, problem-solving, and mentoring abilities.

Skills

Python
SQL
PySpark
Machine Learning
Generative AI
AI Agent Development
Retrieval-Augmented Generation
Prompt Engineering
Large Language Models
Vector Databases
Embedding Models
Data Science
Data Transformation
API Development
Microservices
Cloud-Native Development

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PySpark
Data Science
Machine Learning
Supervised Learning
Unsupervised Learning
Generative AI
AI Agents
Chatbots
Autonomous Systems
LangChain
LangGraph
CrewAI
Retrieval-Augmented Generation
Prompt Engineering
Fine-Tuning
Large Language Models
Vector Databases
Embedding Models
APIs
Microservices
Cloud-Native Development
AWS SageMaker
AWS Lambda
Amazon Bedrock
AWS Glue
ETL
Data Warehousing
AWS Step Functions

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