Levio
via Greenhouse
ML/AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 122d ago
The date the source published, not the day we noticed it (2026-05-15). Last seen at its source 3h ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Toronto
The description states no restriction of its own. This is the source's own tag.
Pay
$110k–150k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
greenhouse employer's own board first seen 11d ago · last seen 3h ago
The listing
Are you looking to thrive in a stimulating work environment?
Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.
About the Role
The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and generative AI systems. This role owns the end-to-end ML lifecycle, ensuring models and AI services are scalable, reliable, secure, and deliver measurable business value. The role will be remote.
Why Join Levio?
- Work on complex, high impact digital transformation projects
- Collaborate with experienced, multidisciplinary teams
- Continuously develop your technical and professional expertise
- Enjoy flexibility, autonomy, and a strong people first culture
- Be part of an organization that values diversity, inclusion, and innovation
Role and Responsibilities
- Design, implement, and productionize machine learning and generative AI models
- Build training, validation, and inference pipelines for ML and LLM-based solutions
- Implement feature engineering, embeddings, and model versioning best practices
- Support LLM-based systems, including RAG architectures and inference optimization
- Implement CI/CD for ML and LLM workflows, including automated deployment and rollback
- Monitor AI systems for performance, drift, bias, and reliability in production
- Optimize compute usage, latency, and operational costs across AI workloads
- Ensure AI systems comply with security, privacy, and responsible-AI standards
- Collaborate with AI Architects, Developers, and Data Engineers across delivery teams
- Mentor junior ML/AI engineers and contribute to engineering best practices
Qualifications and Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
- 6+ years of experience in engineering roles, with 3+ years in AI/ML positions
- Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Hands-on experience deploying and operating ML models in production
- Experience with cloud ML platforms, especially AWS SageMaker
- Strong understanding of data pipelines, model lifecycle management, and monitoring
Compensation (Ontario)
The salary range provided reflects a good faith estimate based on factors such as experience, technical expertise, location, and relevant certifications. Final compensation will be determined according to the specific circumstances of each candidate.
Estimated salary range: $110,000 to $150,000 per year.
This posting is a current hiring need.
Benefits and Work Environment
Levio offers a comprehensive and flexible benefits package designed to support your professional growth and personal wellbeing, including:
- 4 weeks of cumulative vacation starting from day one
- Flexible working hours
- Professional Development Allowance (PDA) for training, computer equipment, and physical activities
- Training tailored to your areas of expertise
- Registered Retirement Savings Plan (RRSP) with employer contribution up to 3% of gross salary
- Modular group insurance plan
- Public transportation or parking reimbursement when required
- Referral bonuses
- 11 statutory holidays