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Senior Machine Learning Engineer , AI Governance; Remote

Remote / Online - Candidates ideally in
Winnipeg, Manitoba, A3C, Canada
Listing for: Optro
Remote/Work from Home position
Listed on 2026-06-14
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Machine Learning Engineer I, AI Governance (Remote  )

Overview

Who We Are

Having surpassed $300M ARR and continuing to grow, Optro is the leading audit, risk, ESG, and Info Sec platform on the market. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award‑winning technology to move their businesses forward with greater clarity and agility. And our customers love us:
Optro is top‑rated on  and Gartner Peer Insights. At Optro, we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and Info Sec platform by our customers.

This is how we have become one of the 500 fastest‑growing tech companies in North America for the seventh year in a row, as ranked by Deloitte!

Remote, Canada

Why This Role is Exciting

We are seeking a passionate and skilled Machine Learning Engineer to join our effort to push the frontiers of risk management. This role offers the opportunity to work with cutting‑edge Large Language Models (LLMs), utilizing techniques like Retrieval‑Augmented Generation (RAG), Few‑Shot Learning, Prompt Engineering, Fine‑Tuning, Semantic Search, and Knowledge Distillation, etc. You will apply your expertise to build advanced AI/ML solutions, enhancing our Audit Board product portfolio with features like chat systems, agentic workflows, intelligent data extraction, and personalized insights.

Responsibilities
  • Build, ship, and own product features end-to-end
  • Work with designers and product managers to create high‑performing product features.
  • Apply a range of techniques—from classical ML to LLM‑based approaches (RAG, prompt engineering, fine‑tuning, semantic search)—with a strong focus on reliability, performance, and maintainability
  • Write well‑designed, maintainable, and testable code
  • Write clear and well‑defined design documentation
  • Troubleshoot, debug, and resolve software bugs
  • Be product‑mindful and think about the customer
  • Stay updated on AI/ML advancements and explore new techniques and tools.
  • Participate in an Agile software development life cycle
  • Work with Python, JavaScript, Node.

    JS, Docker, Postgre

    SQL, Kubernetes, etc.
Attributes of a Successful Candidate
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
  • 4 plus years of hands‑on experience in developing and deploying machine learning models
  • Ability to write scalable production‑quality code
  • Proficiency in classical machine learning methods and familiarity with newer techniques like LLMs
  • Excellent programming skills in Python, Java, or similar languages
  • Experience with machine learning frameworks such as Tensor Flow, PyTorch, Hugging Face, Keras, MXNet, or scikit‑learn.
  • Familiarity with search/information retrieval, and ranking systems
  • Strong communication skills and ability to work collaboratively
  • Analytically minded with a focus on metrics and evaluation
  • Motivation to work hard and always be learning
Preferred
  • Experience with Node.

    JS and up-to-date ES6 or Type Script
  • Experience working on SaaS web applications
  • Basic understanding of distributed systems
  • Bonus:
    Docker, Kubernetes experience, AWS/Azure cloud infrastructure
Our Company Values
  • Customer obsession:
    It starts and ends here. Consistently ask yourself how what you’re doing creates value for our customers. It’s a mindset.
  • Gritty resilience:
    Make it happen. Find a way. Move quick, stay positive, and do what it takes.
  • Drive innovation:
    Create the future. Continuously improve what exists and invent what’s next.
  • Win, together:
    One team. No silos, no egos. Drive to be the best and support each other’s success.
  • Growth mindset: 10x, not 10%. Think in orders of magnitude, not increments. Seek feedback, learn, and improve.
Perks
  • Launch a career at one of the fastest‑growing SaaS companies in North America!
  • Live your best life (LYBL)! $200/mo for anything that enhances your life
  • Comprehensive employee health coverage (all locations)
  • 401K with match (US) or pension with match (UK)
  • Competitive compensation & bonus program
  • Versatile Vacation (US…
Position Requirements
10+ Years work experience
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