ML/AI Engineer

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 We are seeking ML/AI Engineers to contribute to major projects. 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 sta tutory holidays Personal days An active social life (5to7 events, social club, healthy snacks, coffee, and more) Position Details Employment type: Full time, permanent Notice on the Use of Artificial Intelligence in Recruitment We use AI enabled tools to help sort and review applications based on job related criteria. Final decisions regarding candidate progression are always made by a human recruiter. Employment Equity Levio subscribes to the principle of employment equity and applies an equal access employment program for women, Indigenous peoples, visible minorities, ethnic minorities, and persons with disabilities. We value diversity and inclusion and are committed to creating a healthy, accessible, and rewarding work environment that highlights the unique contributions of our employees. Accommodations are available upon request for candidates participating in all aspects of the selection process.