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Added 4 months ago
I
Senior Data Engineer
iQmetrix
Vancouver, BC
- $110,000 CAD / year
- Full-time
The ideal candidate is a hands-on engineer with strong production experience in Python, SQL, and distributed compute environments. They should have deep familiarity with modern lakehouse…
Added 4 months ago
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Senior Scientist - Manufacturing Development
nomic
Montreal, Quebec
- Full-time
Hands‑on experience with automation‑enabled workflows and instrumentation (liquid handlers, plate readers, washers, dispensers, imaging systems), coupled with strong data analysis (Python…
Added 4 months ago
I
Applied Machine Learning
Ideogram
Toronto, ON
- Full-time
…unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen…
Added 3 months ago
TR
AI Engineering Lead, Product Analytics
Thomson Reuters
Remote, Canada
- Full-time
- Remote
…needs, push to get the right sources into the data lake, work with engineering and TR's central Data and Analytics team, and connect with AI leaders in other product groups so our work…
Added 4 months ago
SD
Artificial Intelligence (AI) Architect
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
solutions aligned with enterprise standards, security, and accessibility
Added 4 months ago
SD
Senior AI Engineer
Symbiotic Digital
Unorganized North Algoma, Ontario · Downtown Toronto (Ryerson), Ontario
- Contract
solutions aligned with business and technical requirements
Added 4 months ago
N
Engine/Gameplay Architect - UGC / Architecte moteur / gameplay – UGC
NBCUniversal
Montreal, Quebec
- Full-time
…workflows. You’ll define how creators build, extend, and interact with the platform - through robust APIs, scalable systems, and intuitive scripting - while enabling AI-driven tooling that…
Added 3 months ago
ST
Senior Data Engineer
Sensor Tower
Remote, Canada
- Full-time
- Remote
Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow.
Added 4 months ago
PS
Advisor, Geopolitics Analytics
Public Sector Pension Investment Board
Montreal, Quebec
- Full-time
We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.
Added 4 months ago
S
Generative AI Consultant
Sia
Montreal, Quebec
- Full-time
…helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations…
Added 2 months ago
A
Fullstack Software Engineer (x/f/m) - Care Expert Copilot
Alan
Toronto, ON
- Full-time
Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed…
Added 4 months ago
Implementation Analyst
Forma.ai
Toronto, Ontario
The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s…
Added 3 months ago
A
AI LLM Technology Architecture
Accenture
Montreal, QC
- Full-time
…engineers, ML engineers, and application developers to execute with clarity and…
Added 4 months ago
M
Senior Test Automation Developer
MNP
Calgary, Alberta
- Full-time
Make an impact with our Technology - Development team as a Senior Test Automation Developer. This diverse team of tech-savvy builders and problem solvers embraces digital transformation,…
Added 4 months ago
FC
Senior Analyst, Managed Accounts Portfolio Services Group
Fidelity Canada
Toronto, Ontario
- Full-time
Experience with Access, VBA, and programming languages such as Python is an asset.
Added 4 months ago
WT
Sr Data Scientist, AI Products
Wealthsimple Technologies
Remote, Canada
- $151,000 to $189,000 CAD / year
- Full-time
- Remote
Partner with Product Managers, Designers, and Engineers to translate business goals into a technical AI roadmap, ensuring our model development stays aligned with user needs and technical…
Added 2 months ago
C
Machine Learning Engineer
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
…technology in the space of NLP and GenAI to provide our customers with solutions to make their work more streamlined and efficient allowing them to have more time to focus on their clients’…
Added 2 months ago
FEA Engineer
Ametek, Inc.
Levis, QC
…of projects, including in the defense sector, collaborating with a specialized team and external clients. Your day-to-day work will include performing numerical simulations, preparing 3D…
Added 4 months ago
A
Staff Software Engineer, Shared Services ⭐
Achievers
Toronto, ON
- Full-time
…feature flag management, and the base libraries that every Go and Python service at Achievers is built on - all sitting at the critical path of everything we…
Added 2 months ago
Analyst, Project Controls
Aecon
Toronto, ON
…we build connect communities and power future generations. With deep roots in North America and a strong footprint internationally, Aecon brings global expertise and proudly serves public…
Added 4 months ago
M
Solution Consultant
Morningstar
Toronto, Ontario
- Full-time
…service teams collaborate to help create and provide our clients with the relevant solutions to appropriately meet our client’s business…
Added 1 month ago
Senior ML Data Processing Developer
LawZero
Montreal, QC
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline. Sitting at the intersection of data…
Added 4 months ago
M
Solution Consultant
Morningstar
Toronto, Ontario
- Full-time
…service teams collaborate to help create and provide our clients with the relevant solutions to appropriately meet our client’s business…
Added 3 months ago
TB
Character Rigging & Tools Artist
Torn Banner
Ontario
- Full-time
…development studio founded in 2010. We first made our mark with Chivalry: Medieval Warfare, a multi-million copy selling title that redefined melee combat in gaming. Since then, we’ve…
Added 1 month ago
OT
Sr. Systems Administrator
Open Text Corporation
Richmond Hill, ON · Waterloo, ON
- Other
Expertise in automation using Python, Bash, Terraform, Ansible, and integration with GitLab CI/CD pipelines.

Sia

Generative AI Consultant

294 Rue Saint-Paul Ouest, Montreal, QC, H2Y 2A3, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jul 6, 2026

Original job description

Company Description

Note: La langue de travail pour ce poste est l'anglais. Une description du poste en français est disponible à la fin de cette offre.

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation - merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting.

Job Description

Join us as an experienced Generative AI Specialist designing and implementing cutting-edge GenAI/LLM solutions across diverse industries. You'll act as a vital bridge between technical teams (Data Science, ML, Platform) to deliver business-centric AI value. You'll guide clients on the optimal path - using techniques like RAG, agents, or fine-tuning - for cost-effective impact.

Your responsibilities extend beyond prompting to architecting robust AI products via benchmarking, prototyping, and validation. You'll orchestrate the full AI workflow, ensuring seamless model integration optimized for performance, security, and scale, while tackling infrastructure challenges. We provide extensive training to support your success. If you're driven to push AI boundaries and help clients rapidly adopt GenAI with confidence, apply to make a real difference.

Responsibilities:

LLM/GenAI System Development: Design, build, train, fine-tune, and deploy sophisticated AI models leveraging LLMs (e.g., GPT-x, Claude, Gemini, Llama, Mistral) and other generative techniques.
Assist in Solution Architecture: Support the GenAI Solution Architect in designing robust, scalable, and secure applications.
Application Development: Develop applications powered by GenAI models (both self-managed and API-accessible) that meet business needs and comply with applicable regulations (GDPR, EU AI Act, model licenses, etc.).
Advanced Prompt Engineering: Design and optimize effective prompts (e.g., few-shot, Chain/Tree/Graph of Thought, ReAct, Self-reflection, guardrails), balancing simplicity and complexity to enhance analytical capabilities, refine outputs, improve user experience, and control interactions.
RAG Implementation: Design and implement Retrieval-Augmented Generation (RAG) architectures to improve accuracy and relevance by retrieving information from pre-determined knowledge sources, providing traceability (source attribution).
Model Selection & Fine-Tuning: Select and fine-tune appropriate models (including multimodal - VLM, SLM - Visual Language Models, Small Language Models) to create higher-quality content (text, image, audio, code, etc.) and maximize business value creation opportunities.
Integration & Deployment (MLOps): Implement MLOps best practices for the GenAI lifecycle, including automated pipelines (CI/CD), versioning, monitoring, and maintenance in production environments (Cloud platforms like AWS, Azure, GCP). Ensure seamless integration into existing systems and with external tools/APIs, potentially utilizing standardized protocols (MCP).
Evaluation & Responsible AI: Develop and execute rigorous evaluation frameworks to measure model performance, reliability, fairness, and safety. Ensure adherence to Responsible AI principles and help teams and clients navigate end-to-end security and compliance processes.
Research & Innovation: Stay abreast of the latest advancements in GenAI techniques, technologies, and frameworks. Experiment with new approaches and contribute to internal knowledge sharing.
Collaboration: Work effectively within cross-functional teams, communicating complex technical concepts clearly to diverse stakeholders (both technical and non-technical).
Documentation: Document processes, methodologies, and best practices for knowledge sharing and future reference.
Use Case Differentiation: Distinguish between use cases suited for Generative AI versus traditional NLP applications (e.g., NER, sentiment analysis).

Qualifications

Education:

Master's degree or Engineering degree (or equivalent) in Computer Science, Engineering, Data Science, or a related quantitative field.
Experience: 1-3+ years of hands-on experience in machine learning, software engineering, or data science, with demonstrated experience on complex AI projects specifically involving LLMs and Generative AI.

Required Technical Skills:

Strong programming skills, particularly in Python.
Proficiency in at least one major GenAI application framework (LangChain, LlamaIndex, etc.).
Proven experience in NLP/NLU, vector embeddings, and semantic search.
Hands-on experience with fine-tuning LLMs.
Mastery of advanced prompting techniques (Chain/Tree/Graph of Thought, ReAct, etc.).
Knowledge of both proprietary and open-source model ecosystems (OpenAI, Anthropic, Mistral AI, Hugging Face, models hosted on AWS/Azure/GCP, etc.).
Experience with Cloud platforms (AWS, Azure, or GCP) and their associated MLOps/AI services.
Familiarity with MLOps principles, CI/CD tools, Docker, and Git.

Soft Skills:

Excellent communication skills (written and verbal), ability to explain complex technical concepts simply.
Strong analytical and complex problem-solving abilities.
Team player with the ability to collaborate effectively with diverse profiles.
Curiosity, pioneering spirit, and a demonstrated commitment to continuous learning.

Preferred Qualifications:

Experience building agentic AI systems (e.g., LangGraph, AutoGen).
Experience with vector databases (e.g., pgvector, Pinecone, Chroma, OpenSearch).
Experience developing conversational AI systems / chatbots.
Familiarity with deep learning frameworks (PyTorch, TensorFlow).
Understanding of or experience with protocols and standards for connecting LLMs to external tools and databases, such as Model Context Protocol (MCP).
Experience deploying models at scale in production environments.

Additional Information

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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Description résumée du poste en français:

Nous recherchons un conseiller en IA générative pour rejoindre son équipe AI & Data, au cœur des projets d’innovation du cabinet. Le rôle consiste à concevoir, déployer et mettre en production des solutions GenAI à fort impact pour des clients issus de secteurs variés.

Le ou la spécialiste interviendra sur l’ensemble du cycle de vie des solutions IA :
choix des modèles, prompt engineering avancé, architectures RAG, fine-tuning, intégration et MLOps, tout en assurant performance, sécurité, conformité et IA responsable.

Le poste implique une forte collaboration avec les équipes Data, ML, plateformes et business, ainsi qu’un rôle-conseil auprès des clients pour identifier les meilleurs cas d’usage et accélérer l’adoption de l’IA générative.

Profil recherché : expérience concrète en IA générative et LLM, maîtrise de Python, NLP, embeddings, frameworks GenAI (LangChain, LlamaIndex), cloud (AWS/Azure/GCP) et bonnes pratiques MLOps.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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More about this job

Responsibilities

Design and deploy sophisticated GenAI and LLM solutions, including RAG architectures and fine-tuned models, across various industries. Act as a technical bridge to deliver business-centric AI value while ensuring security, compliance, and performance.

Requirements

Requires a Master's or Engineering degree in Computer Science or a related field with 1-3+ years of experience in machine learning and LLMs. Proficiency in Python, GenAI frameworks, and cloud platforms is essential.

Skills

Generative AI
Large Language Models
Python
LangChain
LlamaIndex
RAG
Prompt Engineering
MLOps
Fine-tuning
NLP
Cloud Platforms
Vector Embeddings
Model Evaluation
Solution Architecture
CI/CD
Docker

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
GPT-x
Claude
Gemini
Llama
Mistral
RAG
Prompt Engineering
Fine-tuning
MLOps
Python
LangChain
LlamaIndex
AWS
Azure
GCP
Docker
Git
Vector Databases
Pinecone
Chroma
PyTorch
TensorFlow
GDPR
EU AI Act
NLP
Semantic Search
Agentic AI
Model Context Protocol

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