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Added 7 mins ago
RB
Senior AI Engineer
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Toronto, ON
- Full-time
· Review code, mentor developers, and promote best practices.
Added 7 mins ago
T
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- Full-time
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Added 7 mins ago
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- Full-time
· Mentor a team by showcasing exceptional experiences in every customer interaction and achieving operational excellence, and personal development objectives.
Added 7 mins ago
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Toronto, ON
- $73,900 to $109,360 CAD / year
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Added 22 mins ago
Data Engineer - Snowflake, dbtCore/Cloud, AWS
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Added 23 mins ago
IG
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- Contract
…analysts, and business stakeholders to ensure successful delivery. Mentor and coach team members as they increase their Python capabilities. Help validate migrated solutions and ensure…
Added 23 mins ago
TS
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- Full-time
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Added 23 mins ago
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Added 37 mins ago
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QC · Quebec City, QC
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Added 37 mins ago
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- Full-time
…to developing your skills, you will have the opportunity to mentor junior technicians to grow in their…
Added 37 mins ago
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Added 52 mins ago
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Supervise, mentor, and support students during clinical experiences, maintaining accurate grades, records, and reports of student progress.
Added 52 mins ago
Senior Developer
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Added 52 mins ago
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Added 52 mins ago
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Added 52 mins ago
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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: Nov 4, 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 deploy data science and machine learning solutions, including generative AI applications, agents, chatbots, and retrieval systems. Lead technical planning and design, collaborate with stakeholders, communicate findings, and support continuous improvement and innovation.

Requirements

Requires a bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, along with experience developing data science solutions. Candidates should be proficient in Python, SQL, PySpark, machine learning, LLM and RAG techniques, AI agent development, APIs, and cloud-native systems, with strong communication and problem-solving skills.

Skills

Python
SQL
PySpark
Machine Learning
Generative AI
AI Agent Development
Retrieval-Augmented Generation
Prompt Engineering
Large Language Models
LangChain
LangGraph
CrewAI
Vector Databases
Cloud-Native Development
API and Microservices Architecture
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

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

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