Talent.com

Packaging engineer Jobs in Toronto, ON

Create a job alert for this search

Packaging engineer • toronto on

Last updated: 4 days ago

AI Engineer

BDOBay St,Toronto
Full-time

Putting people first, every day.BDO is a firm built on a foundation of positive relationships with our people and our clients.Each day, our professionals provide exceptional service, helping client... Show more

Mechanical Engineer

MevotechToronto, ON, CA
Full-time
Quick Apply

Take your Career to the next Level with MEVOTECH.Join Our Team at Mevotech!   Are you ready to elevate your career with a leading North American aftermarket auto parts company?.Mevotech i... Show more

Lead Engineer

ScotiabankToronto, ON, CA
Full-time

Drive the hands‑on engineering, configuration, and integration of CIAM solutions that support enterprise security strategies, reliability standards, and digital identity modernization goals.Impleme... Show more

Network Engineer

AlstomToronto, ON, CA
CA$90,000.00 yearly
Full-time

At Alstom, we understand transport networks and what moves people.From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility... Show more

Systems Engineer

STACK IT RecruitmentToronto, ON, CA
CA$80,000.00–CA$90,000.00 yearly
Full-time +1
Quick Apply

Love complex infrastructure challenges and client-facing problem solving? .This is your chance to lead major tech transformations - from server migrations to cloud upgrades - all while being t... Show more

Director - Strategic Sourcing, Packaging, North America

HelloFreshToronto, Ontario, Canada
CA$167,000.00 yearly
Full-time

We are seeking an experienced and strategic leader to join our Procurement Leadership team as Director, Strategic Sourcing, Packaging for North America.This is a high-impact role at a pivotal momen... Show more

AI Engineer

Motion RecruitmentToronto, ON, Canada
Full-time

Join a technology-forward consulting and advisory organization that is making a significant investment in the future of AI.This contract opportunity is ideal for experienced AI Engineers with a pas... Show more

Acoustics Engineer

RWDIToronto, Ontario, CA
CA$65,000.00 yearly
Full-time
Quick Apply

RWDI is a global climate and performance engineering consulting firm that helps its clients redefine what’s possible by overcoming design and operational challenges, while minimizing environmental,... Show more

Analytics Engineer

Canadian Unicef CommitteeToronto, Ontario, Canada, M4P 2Y3
CA$90,000.00–CA$105,000.00 yearly
Full-time +1
Quick Apply

JOIN OUR TEAM AS AN Analytics Engineer.Are you looking to use your data & technology expertise.Canada’s most respected and historic charities – and.Canada and globally to create a better world for ... Show more

Software Engineer

RockstarToronto, ON, CA
Full-time
Quick Apply

Rockstar is recruiting for an early-stage, well-funded startup that is transforming how enterprise accounting teams manage the month-end close process.The founding team brings deep experience from ... Show more

Reliability Engineer

Kinross Gold CorporationToronto, ON, CA
Full-time

Location: Downtown Toronto (outside Union Station – TTC & GO accessible).Founded in 1993, Kinross is a Canadian-based senior gold mining company with operations and projects in the United State... Show more

GTM Engineer

OccupierToronto, Ontario, CA
CA$110,000.00–CA$120,000.00 yearly
Full-time

We're building the blueprint for modern go-to-market at Occupier.We are seeking our first dedicated GTM Engineer—an individual who will own the connective tissue across Sales, Marketing, Customer E... Show more

Packaging Machine Operator

The PUR CompanyNORTH YORK, ON, CA
Full-time

The PUR Company is a category-disrupting brand.Our growth is driven by differentiated, better-for-you products and a deeply loyal consumer base.The packaging machine operator will oversee the flow ... Show more

Packaging Engineer

Florida Crystals / ASR GroupToronto, ON, CA
Full-time

You are an experienced engineer with experience in a fast-paced, complex manufacturing operation.You have a proven track record and a strong mechanical aptitude, excellent analytical thinking and p... Show more

System Engineer

Royal Bank of Canada>TORONTO, Canada
Full-time

The RBC Team is hiring for System Engineer role within GFT Team.As a System Engineer, you provide support for a suite of business mission-critical and complex applications, understanding both front... Show more

Process Engineer

Pivotal Integrated SolutionsEtobicoke, ON, CA
Full-time

Reporting to the Director of Manufacturing, the Project Engineer is a “hands on" role that provides leadership & supervision in support of a  food manufacturing operation... Show more

Electrical Engineer

Trevor Frances RecruitmentToronto, Ontario, Canada
Full-time

This role is ideal for an engineer who enjoys designing and improving automated manufacturing systems, solving complex technical challenges, and leading projects from concept through implementation... Show more

Manufacturing Engineer

Active DynamicsToronto, ON, CA
CA$75,000.00–CA$85,000.00 yearly
Full-time
Quick Apply

Active Dynamics is a progressive OEM supplier that designs, tests, and manufactures unique solutions for multiple systems and multiple industries.This full-service, end-to-end capabilities are pair... Show more

Structural Engineer

LAPORTEToronto, ON, CA
Full-time +1

North America and Europe and more than 520 dedicated employees.We are an independent company wholly owned by 45 of our principal engineers.We offer a stimulating environment where autonomy, collabo... Show more

Senior.NET Engineer

Derivative PathToronto, ON, CA
Full-time
Quick Apply

Who We Are Derivative Path empowers institutions across the capital markets with innovative, AI-driven technology and expert advisory solutions.Our award-winning cloud platform supports banks, cred... Show more

People also ask
AI Engineer

AI Engineer

BDOBay St,Toronto
30+ days ago
Job type
  • Full-time
Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a with a high priority on your personal and professional growth.

Your Opportunity

As an experienced AI Engineer, you will design, build, and deploy production‑grade AI solutions that bridge experimental machine learning with scalable software engineering. In this replacement role, you will play a critical role in enabling enterprise‑ready AI capabilities with a strong focus on large language models (LLMs), retrieval‑augmented generation (RAG), and agentic workflows, operating within established governance frameworks.Responsibilities:

  • Design, build, and deploy robust, scalable, production‑grade AI applications using frameworks such as LangChain, LlamaIndex, AutoGPT, and related LLM orchestration tools.
  • Develop, refine, and optimize complex prompt strategies; manage model context windows; and fine‑tune models where required to maximize performance, accuracy, and cost efficiency.
  • Integrate AI capabilities into existing enterprise environments through RESTful APIs, microservices, and cloud‑native architectures.
  • Build, maintain, and optimize vector databases (e.g., Pinecone, Milvus, Weaviate) and design efficient data ingestion and embedding pipelines to support retrieval‑augmented generation (RAG) solutions.
  • Monitor AI systems in production and proactively address issues related to hallucinations, latency, reliability, scalability, and token‑cost optimization.
  • Collaborate closely with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, Full‑Stack Developers, Service Line Labs, and Citizen Developers on firm‑wide initiatives and internal platforms.
  • Support AI system documentation, lifecycle management, and control processes in alignment with ISO/IEC 42001 enterprise governance requirements.
  • Adhere to established AI risk management, data governance, and security policies, and assist with model inventories, traceability, and change‑management activities.
  • Participate in model testing and validation activities in accordance with the NIST AI Risk Management Framework, including mapping and measuring model risks.
  • Support the implementation of risk‑mitigation controls and ongoing monitoring, and follow governance processes that promote transparency, accountability, and responsible AI use.

How do we define success for your role?

  • You demonstrate BDO's core values through all aspect of your work: Integrity, Respect and Collaboration

  • You understand your client’s industry, challenges, and opportunities; clients describe you as positive, professional, and delivering high quality work

  • You identify, recommend, and are focused on effective service delivery to your clients

  • You share in an inclusive and engaging work environment that develops, retains & attracts talent

  • You actively participate in the adoption of digital tools and strategies to drive an innovative workplace

  • You grow your expertise through learning and professional development.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 3–5 years of professional experience in AI, machine learning, or applied software engineering.
  • Expert‑level proficiency in Python, with working familiarity in Java and/or TypeScript for enterprise application development.
  • Deep hands‑on experience with leading AI and LLM frameworks, including OpenAI APIs, Anthropic, Hugging Face, and LangGraph, along with a strong understanding of LLM‑based application design.
  • Proven experience designing and implementing retrieval‑augmented generation (RAG) and agentic AI systems, supported by a solid grasp of scalable, production‑grade AI architectures.
  • Experience working with vector databases as well as SQL and NoSQL data stores, and hands‑on exposure to cloud platforms such as Azure AI / AI Foundry, AWS Bedrock, or Google Cloud Platform (GCP).
  • Practical experience with DevOps and MLOps practices, including Docker, Kubernetes, and CI/CD pipelines for machine learning workloads.
  • Familiarity with machine learning lifecycle and experiment‑tracking tools such as MLflow or Weights & Biases.