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Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
We are seeking an experienced Senior Machine Learning Engineer / Specialist to support an enterprise AI Centre of Excellence (AI CoE) and its Machine Learning and Data Science initiatives.
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
Contract
We are seeking an experienced Senior Machine Learning Engineer / Specialist to support an enterprise AI Centre of Excellence (AI CoE) and its Machine Learning and Data Science initiatives.
Lead AI Engineer
RBC
Toronto, ON
Full-time
We are seeking an accomplished Lead AI Engineer to design, develop, and implement AI-driven solutions within our software development lifecycle. You will lead enterprise-scale AI…
Senior Agentic AI Engineer
Citi
Mississauga, ON
We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state-of-the-art Generative AI and agentic AI solutions across our…
AI Engineer
PLATO
Remote, Canada
$75 to $95 CAD / hour
Contract · Remote
We are seeking an experienced AI Engineer with 5+ years of experience designing, developing, and deploying enterprise-grade Artificial Intelligence and Generative AI solutions using the…
Software Engineer - Data
Forum Asset Management
Toronto, Ontario
Full-time
We’re looking for a Software Engineer - Data to design, build, and evolve Forum’s next-generation enterprise data platform using the Microsoft Fabric technology stack (or a suitable…
Added 1 day ago
Staff AI Engineer
Safe Software
Remote, Canada
$147,000 to $167,000 CAD / year
Full-time · Remote
This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous…
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Our Data Architecture & Engineering team sees data as the foundation for decision-making, artificial intelligence, and transformation. You may work with cross-platform data engineering…
Intermediate AI Engineer (ID#5518)
New Value Solutions
Richmond, BC
Contract
New Value Solutions, a national IT consulting company, is seeking an Intermediate AI Engineer to design, develop, test, deploy, and support enterprise AI applications, intelligent…
Senior AI Engineer
RBC
Toronto, ON
Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Senior Data Engineer
Capgemini
Mississauga, ON
Full-time
Senior Data Engineer role to be part of our scrum teams and perform functional system development for Hadoop applications for our Enterprise Data Lake initiative
Lead AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an accomplished Lead AI Engineer to design, develop, and implement AI-driven solutions within our software development lifecycle. You will lead enterprise-scale AI…
Senior AI Automation Engineer
McKesson
Hinchinbrooke, QC · Le Haut-Saint-Laurent Regional County Municipality, QC
Full-time
The Senior Specialist, Data Automation Engineering plays a key role in advancing automation and AI capabilities across the Data Hub. This position focuses on designing and implementing…
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Ratings
Toronto, ON
Full-time
…you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable…
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…you’ll help reinvent an industry using decades‑deep proprietary data and a modern tech stack, free from heavy legacy. Backed by full enterprise support, you’ll build reliable, explainable…
Senior AI Engineer - Full time
Trillium Health Partners
Mississauga, Ontario
Full-time
Reporting to the Director, AI & Digital Planning, the Senior AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions…
Senior AI Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking an accomplished Senior AI Engineer to contribute to the design, development, and implementation of AI-driven solutions within our software development lifecycle. This role…
Data Science & AI Graduate Scheme - Halifax
targetjobs UK
Halifax, NS
Temporary
Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary…
Lead AI Security Automation Engineer
State Street
Toronto, ON
Full-time
State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Lead AI Security Automation Engineer to shape the next generation of cybersecurity data, analytics, and AI-powered…
Intermediate AI Engineer
Price Industries Limited
Winnipeg, MB
Integrate AI solutions with enterprise systems, applications, APIs, and data sources.
AI Engineer
Cprime
Toronto, Ontario
Contract
…platforms to drive innovation, enhance efficiency, and shift enterprise toward AI native thinking. Founded in 2003 and headquartered in the US, our clients span the globe and include more…
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
Full-time
…fine-tuning, deploying, and monitoring machine learning models and Generative AI solutions in an enterprise production environment. This role rests on the ability to work cross-functionally…
AI Scientist & Engineer, Assurance Innovation Lab
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Markham, ON · Vancouver, BC
Full-time
…fine-tuning, deploying, and monitoring machine learning models and Generative AI solutions in an enterprise production environment. This role rests on the ability to work cross-functionally…
AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
As an AI Engineer (Global Security), you will contribute to building RBC’s next-generation platform for autonomous and semi-autonomous AI. You will contribute to the engineering lifecycle…
Senior AI Security Automation Engineer
State Street
Toronto, ON
Full-time
State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Senior AI Security Automation Engineer to help shape the next generation of cybersecurity data, analytics, and AI-powered…

Cprime

AI Engineer

Toronto, ON, Canada

Job type: Contract

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

The AI Engineer will design, build, and deploy LLM-based applications and RAG pipelines into production environments. They will also integrate generative AI with enterprise applications and implement agentic frameworks and safety guardrails.

Requirements

Requires 8-10 years of experience in apps development or systems analysis with deep expertise in GenAI, NLP, and Python. Proficiency in MLOps, container orchestration (Kubernetes/OpenShift), and various vector databases is essential.

Experience

5 to 10 years

Working hours

40 hours per week

Work arrangement

On-site

Skills

Generative AI
Large Language Models
RAG Pipelines
Python
MLOps
Vertex AI
Hugging Face
Prompt Engineering
LangChain
LlamaIndex
Vector Databases
Kubernetes
OpenShift
CI/CD
PyTorch
TensorFlow

Visa sponsorship

Not detected in the job text

Keywords

GenAI
Machine Learning
Data Science
Statistics
NLP
Neural Networks
LLMs
Google Gemini
OpenAI
Anthropic Claude
Mistral
Llama
RAG
Vertex AI
Hugging Face
Prompt Tuning
Agentic Frameworks
Python
Pandas
NumPy
Scikit-learn
PyTorch
TensorFlow
Transformers
FastAPI
Seaborn
LangChain
LlamaIndex
PG Vector
Pinecone

Original job description

Cprime is an AI-first, human-centered partner, combining strategic consulting with industry-leading platforms to drive innovation, enhance efficiency, and shift enterprise toward AI native thinking. Founded in 2003 and headquartered in the US, our clients span the globe and include more than 300 of the Fortune 500 companies. We bring deep expertise across Atlassian, IBM Apptio, ServiceNow, cloud, data, and enterprise agility to enable intelligent enterprises where people and AI orchestrate as one.

Notice of E-Verify Participation:

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. E-Verify Works for Everyone For more information on E-Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

Right to Work Notice:

If you have the skills, experience, and legal right to work, your citizenship or immigration status shouldn’t get in the way. Neither should the place you were born or another aspect of your national origin. A part of U.S. immigration laws protects legally-authorized workers from discrimination based on their citizenship status and national origin. You can read this law at 8 U.S.C. § 1324b. The Immigrant and Employee Rights Section (IER) may be able to help if an employer treats you unfairly in violation of this law. The law that IER enforces is 8 U.S.C. § 1324b. The regulations for this law are at 28 C.F.R. Part 44. Call IER if an employer: Does not hire you or fires you because of your national origin or citizenship status (this may violate a part of the law at 8 U.S.C. § 1324b(a)(1)) Treats you unfairly while checking your right to work in the U.S., including while completing the Form I-9 or using E-Verify (this may violate the law at 8 U.S.C. § 1324b(a)(1) or (a)(6)) Retaliates against you because you are speaking up for your right to work as protected by this law (the law prohibits retaliation at 8 U.S.C. § 1324b(a)(5))

Position: AI Engineer

Location: Mississauga, ON- Canada (Onsite).

Type of hire: Contract

Role Overview

8-10 years of relevant experience in Apps Development or systems analysis role.

Core AI/ML Foundations:

Strong foundational knowledge in GenAI , Machine Learning (ML modeling), Data Science, Statistics, and AI fundamentals, including Natural Language Processing (NLP), Neural Networks, and Large Language Models (LLMs).

Generative AI & LLM Expertise:

Extensive hands-on experience with leading LLMs such as Google Gemini, OpenAI models, Anthropic Claude, Mistral, Llama, and various other open-source LLMs.
Critical: Deep working knowledge and hands-on experience with Retrieval-Augmented Generation (RAG) pipelines, including advanced RAG techniques and their detailed implementation.
Proven ability to build, tune, and deploy LLM-based applications using platforms like Vertex AI, Hugging Face, etc.
Expertise in developing robust prompt engineering strategies, prompt tuning, and creating reusable prompt templates.
Hands-on experience with agentic framework-based use case implementation.
Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features.

Programming & Data Engineering:

Strong programming proficiency in Python is a must, including extensive experience with libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain, and LlamaIndex.
Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs, and orchestration tools.
Hands-on experience with various vector databases (e.g., PG Vector, Pinecone, Mongo Atlas, Neo4j) for efficient data storage and retrieval.
Experience in dealing with large amounts of unstructured data and designing solutions for high-throughput processing.

Deployment & MLOps:

Critical: Hands-on experience deploying GenAI-based models to production environments.
Strong understanding and practical experience with MLOps principles, model evaluation, and establishing robust deployment pipelines.
Strong expertise in CI/CD principles and tools (e.g., Jenkins, GitLab CI, Azure DevOps, ArgoCD) for automated builds, testing, and deployments.

Cloud & Containerization:

Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment.

Soft Skills:

Strong problem-solving abilities, excellent collaboration skills for working effectively with cross-functional teams, and the capability to work independently on complex, ambiguous problems.

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Third party candidates will not be considered for this opportunity. Cprime does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Cprime employees, or any other company location. Cprime is not responsible for any fees related to unsolicited resumes.

What We Believe In

At Cprime we believe in facilitating social justice action internally, in industry, and within our communities. We believe part of our mission is to expand the minds, hearts, and opportunities of our Cprime teammates and within the broader community to include those who have been historically marginalized.

Equal Employment Opportunity Statement

Cprime is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws.

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