AI/ML Specialist

Collabera; Toronto; On-site; CAD 83,000 - 90,000; Full time

Job summary

Collabera in Toronto, Ontario, is seeking an AI/ML professional to drive next‑gen AI initiatives across business and technology teams. You will work hands‑on with AI/ML, Generative AI, and agentic AI solutions to prototype use cases that solve real business problems and move them toward production.

The role requires strong fundamentals in ML, experience with LLMs and prompt engineering, multimodal AI, and tools such as LangChain and vector databases.

Qualifications

• Bachelor’s degree in CS/STEM or equivalent experience.
• Hands-on AI/ML with Generative AI experience.
• Strong ML fundamentals and model evaluation.
• Experience with LLMs, prompts, fine-tuning, multimodal AI.
• Proficiency with Python and ReactJS.

Responsibilities

• Support AI and emerging technology initiatives across business and technology teams.
• Prototype AI use cases and solutions that solve real business problems.
• Evaluate and apply foundation models, LLMs, and modern AI frameworks.
• Contribute to RAG, memory systems, tool use, and function-calling patterns.
• Support multi-agent workflows and autonomous AI capabilities.
• Assist with AI experimentation, proof-of-concepts, and solution testing.
• Partner with data, engineering, and business teams to move AI solutions toward production.
• Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
• Communicate AI concepts clearly to both technical and non-technical audiences.
• Promote responsible AI practices, including ethics, governance, and bias mitigation.

Skills

Python

OpenAI with LLM

ReactJS

NodeJS

Jenkins

GitHub

AI/ML

LangChain

Strands

Crew AI

Vector databases

RAG

Tool calling

AWS Bedrock

Azure/GCP

Education

Bachelor’s degree in CS/STEM or equivalent

Tools

LangChain

Strands

Crew AI

Vector databases

Prompt engineering

CI/CD tooling

AWS Bedrock

Azure

GCP

Job description

• Support AI and emerging technology initiatives across business and technology teams.
• Work hands-on with AI/ML, Generative AI, and agentic AI solutions.
• Help develop and prototype AI use cases that solve real business problems.
• Evaluate and apply foundation models, LLMs, and modern AI frameworks.
• Contribute to RAG, memory systems, tool use, and function-calling patterns.
• Support multi-agent workflows and autonomous AI capabilities.
• Assist with AI experimentation, proof-of-concepts, and solution testing.
• Partner with data, engineering, and business teams to move AI solutions toward production.
• Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
• Communicate technical AI concepts clearly to both technical and non-technical audiences.
• Promote responsible AI practices, including ethics, governance, and bias mitigation.

Required Skills

• Bachelor’s degree in computer science, STEM, or equivalent experience.
• Experience in AI/ML, Generative AI, or advanced analytics.
• Strong understanding of machine learning fundamentals and model evaluation.
• Hands-on exposure to LLMs, prompt engineering, fine-tuning, and multimodal AI.
• Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI.
• Experience with vector databases, RAG, and tool/function calling.
• Exposure to cloud AI platforms such as AWS Bedrock; Azure or GCP is a plus.
• Understanding of MLOps, AI Ops, and CI/CD for AI solutions.
• Strong analytical, problem-solving, and communication skills.
• Ability to work well in agile, cross-functional teams.
• Hands on with Python and ReactJS.

Mandatory Skillsets

• Python
• OpenAI with LLM
• ReactJS
• NodeJS
• Jenkins
• GitHub

The expected base salary range for this position is $60 – $65 per hour, depending on experience, skills, and internal equity.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.

For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.