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Added 7 mins ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
…infrastructure that enables enterprise AI, Generative AI, and Agentic AI solutions at…
Added 7 mins ago
SK
Senior Data Scientist
Sokoni Kwetu
London, ON
- Full-time
…production-grade infrastructure for sophisticated models and agentic AI systemsYou communicate clearly, translating sophisticated models and quantitative findings into actionable strategy…
Added 7 mins ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
…support CN's next generation of data, analytics, automation, and agentic capabilities. The role translates business opportunities into production-grade AI applications, AI agents,…
Added 1 hour ago
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Workforce Transformation Senior Manager
PwC
Toronto, ON
- Full-time
Drive the creation of innovative products, accelerators, and methodologies that define the future of HR in the Agentic AI era
Added 3 hours ago
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Principal Engineer - Retail Systems
lululemon
Vancouver, BC
- Full-time
…how the organisation builds software through AI-enabled and agentic development…
Added 6 hours ago
SM
Associate Director
S M Software Solutions Inc
Toronto, ON
- Full-time
Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
Added 6 hours ago
SM
Associate Director
S M Software Solutions Inc
Toronto, ON
- Full-time
Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
Added 6 hours ago
SM
Associate Director
S M Software Solutions Inc
Toronto, ON
- Full-time
Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
Added 6 hours ago
SM
Associate Director - Halifax
S M Software Solutions Inc
Halifax, NS
- Full-time
Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
Added 6 hours ago
SM
Associate Director - Halifax
S M Software Solutions Inc
Halifax, NS
- Full-time
Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
Added 6 hours ago
SM
Associate Director - Halifax
S M Software Solutions Inc
Halifax, NS
- Full-time
Lead the evaluation and adoption of agentic AI systems, RAG (Retrieval-Augmented Generation) models, and related technologies to automate repetitive tasks and enhance decision-making.
Added 7 hours ago
DE
AI Engineer
Digital Era Management & Technology Inc
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Contract
We are looking for an AI engineer for a short term contract (3 months, may be extended). The job will be to build agentic workflows that enhance current business processes.
Added 10 hours ago
M
Développeur(euse) IA
Mirego
Montreal, QC · Quebec, QC
- Full-time
…between software development and the world of AI, designing agentic systems, RAG pipelines, and solutions leveraging the top-performing models on the market. Your enthusiasm for AI and your…
Added 10 hours ago
P
Technology Strategy & Transformation, Manager
PwC
Calgary, AB
- Full-time
…one or more of the following: infrastructure, data, AI/GenAI/Agentic, AIOps/SRE,…
Added 11 hours ago
C
Lead Software Engineer - Enterprise Applications
Citi
Mississauga, ON
- Full-time
This role focuses on implementing scalable, agentic AI frameworks and generative AI solutions within small, agile squads. The successful candidate will operate with an AI‑first mindset,…
Added 11 hours ago
Research Developer, Frontier AI Incubation, DeepMind
Google
Montreal, QC
Experience or interest in personalization, adaptive systems, user modeling, retrieval-augmented generation, or agentic memory architectures.
Added 11 hours ago
Software Development Manager, Rendering Foundations
Amazon
Vancouver, BC
…Manager to build and lead a new team in Vancouver that owns agentic CX and experience orchestration interfaces. The team will extend the platform so agents can render and compose shopping…
Added 12 hours ago
M
People Services AI Solutions & Configuration Lead
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Act as a subject matter expert for Workday AI products and capabilities, including Workday Self-Service Agent, Agentic AI solutions, and future platform innovations.
Added 12 hours ago
M
Manager / Senior Manager, AI Model Risk Governance, Standards & Enablement
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
…offers a unique opportunity to shape how AI, Generative AI, and Agentic AI are governed across the organization by translating emerging risks, regulatory expectations, and industry…
Added 13 hours ago
LLM Engineer
ZS
Toronto, ON
…with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and DevOps tools. They will be responsible for…
Added 14 hours ago
A
Senior Manager, AI Strategy & Business Development
Avanade
Toronto, ON
- Full-time
Bring informed perspectives on Generative AI, Agentic AI, AI-enabled business processes, intelligent applications, and enterprise AI platforms.
Added 15 hours ago
O
Director, Value Creation Private Markets
OPTrust
Toronto, ON
- Full-time
Added 15 hours ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Use modern cloud-native architecture, event-driven patterns, observability, and Agentic engineering practices to move faster without compromising quality.
Added 16 hours ago
C
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
- Full-time
…intelligence systems, including machine learning pipelines and agentic AI workloads, ensuring security, compliance and alignment with overall enterprise…
Added 16 hours ago
S
Business Development Representative - Toronto
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of…

Akkodis

Senior Data Scientist - AI/ML

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Experience: 5+ years of experience designing and implementing data science and machine learning solutions.
Posting language: English
Posted: Oct 9, 2026

Original job description

Position: Senior Data Scientist - AI/ML

Duration: 12 months

Location: 1 York, Toronto, ON

Work Model: Hybrid (3 days onsite per week, Thursday designated as team collaboration day)

About Our Client:

A leading Canadian organization focused on leveraging advanced analytics, machine learning, and Generative AI to drive business growth, innovation, and operational excellence across multiple business units.

About this opportunity:

We are seeking an experienced Senior Data Scientist - AI/ML to join a high-performing Data Science team. Reporting to the Director, Data Science, this role will support Canadian business units by accelerating the adoption and application of advanced analytics, machine learning, and Generative AI solutions.

The successful candidate will leverage expertise in data science, machine learning, and GenAI technologies to design, develop, and deploy innovative solutions that create measurable business value. This position offers the opportunity to work on cutting-edge AI initiatives, including AI agents, chatbots, large language models (LLMs), and Retrieval-Augmented Generation (RAG) solutions.

What You’ll Do:

Data Science & Machine Learning

Translate business objectives into analytical and machine learning solutions.
Identify and implement appropriate statistical methods, machine learning algorithms, and GenAI architectures.
Develop and deploy machine learning and data science products in collaboration with cross-functional teams.
Apply descriptive, predictive, and machine learning techniques from concept through production implementation.
Perform feature engineering, model training, validation, testing, and performance optimization.
Develop prompt engineering strategies for large language models and AI applications.

GenAI & Agentic AI Development

Design, build, and deploy GenAI applications including AI assistants, chatbots, and autonomous agents.
Research, evaluate, and pilot emerging GenAI technologies and frameworks.
Implement Retrieval-Augmented Generation (RAG) solutions for enterprise use cases.
Develop AI agents using modern frameworks such as LangChain, LangGraph, CrewAI, or similar technologies.
Build intelligent information retrieval systems utilizing vector databases and embedding models.
Enhance AI systems with reasoning capabilities, tool usage, and workflow automation.

Technical Leadership & Collaboration

Break down complex initiatives into actionable work plans and development milestones.
Create and maintain technical documentation, solution designs, data models, and integration specifications.
Collaborate with stakeholders to understand business needs and communicate technical recommendations.
Present analytical findings and business insights to technical and non-technical audiences.
Mentor and support junior data scientists and data engineers.
Promote innovation, continuous improvement, and best practices across the analytics community.

What You Bring:

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience.
5+ years of experience designing and implementing data science and machine learning solutions.
Advanced proficiency in Python for data science, machine learning, and Generative AI development.
Strong experience writing complex SQL and PySpark queries.
Proven experience working with both structured and unstructured datasets.
Strong knowledge of supervised and unsupervised machine learning techniques.
Experience with APIs, microservices architecture, and cloud-native applications.
Hands-on experience with LLMs, GenAI frameworks, and AI application development.
Strong understanding of prompt engineering, RAG architectures, fine-tuning methodologies, vector databases, and embedding models.
Experience developing conversational AI and chatbot solutions.
Excellent communication, presentation, and stakeholder engagement skills.
Demonstrated ability to manage multiple priorities and projects simultaneously.
Strong analytical, problem-solving, and decision-making capabilities.
Experience mentoring technical team members and contributing to knowledge sharing initiatives.

Nice to Have

Experience with AWS cloud services, including SageMaker, Lambda, Bedrock, and related AI/ML services.
Experience with data warehousing, ETL pipelines, and big data platforms.
Hands-on experience with AWS Glue, Glue Catalog, Glue Data Quality, and AWS Step Functions.
Experience deploying machine learning models in production environments.
Familiarity with MLOps practices and model monitoring frameworks.

How to Apply:

Interested candidates are encouraged to submit their resumes via the Akkodis Canada website

Akkodis Canada will never share your resume or any personal details without your explicit consent.

We thank all applicants for their interest in this opportunity. Only candidates meeting the above qualifications will be contacted for further discussions

Our Commitment:

At Akkodis, part of The Adecco Group, we’re committed to making the future work for everyone. We live our values, Passion, Collaboration, Inclusion, Courage, and Customers at Heart, by fostering a workplace where diversity is celebrated and every voice matters. We encourage applications from individuals of all backgrounds and identities. Together, we’re making the future work for everyone.

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More about this job

Responsibilities

Translate business objectives into data science, machine learning, and Generative AI solutions, and develop, deploy, and optimize those solutions for production use. Lead technical planning and documentation, collaborate with stakeholders, communicate findings, and mentor junior data science and engineering team members.

Requirements

Requires a bachelor's degree in a relevant field or equivalent practical experience, plus at least five years designing and implementing data science and machine learning solutions. Candidates should have advanced Python skills, strong SQL and PySpark experience, and hands-on expertise with LLMs, GenAI applications, RAG, prompt engineering, and conversational AI.

Skills

Python
SQL
PySpark
Machine Learning
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
AI Agents
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
AWS
MLOps

Visa sponsorship

Not detected in the job text

Keywords

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

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