Clariti Cloud Inc. - Senior MLOps Engineer
Requirements
• 6–10+ years of experience in software or ML engineering, with at least 3+ in MLOps or ML infrastructure • Solid experience working with Python, C, C++, Bash, etc • Proven experience deploying and managing ML models in production • Proficiency with Docker, and Kubernetes for scalable ML system design • Experience with cloud platforms (AWS, GCP, or Azure) and GPU orchestration • Hands-on knowledge of CI/CD pipelines (GitHub Actions, Jenkins, or similar)Familiarity with MLflow, Weights & Biases, Kubeflow, and other similar tools for experiment tracking and pipeline automation • Solid understanding of data versioning, model reproducibility, and monitoring strategies • Excellent problem-solving skills and a collaborative, team-oriented mindset • Experience training models from scratch, including defining architectures, curating & cleaning datasets, tuning training parameters, and bringing models from research to monitored production • Exposure to model optimization techniques (quantization, distillation, TensorRT, ONNX) • Familiarity with infrastructure-as-code tools (Terraform, CloudFormation) • Background in distributed systems or high-performance computing • Contributions to open-source projects
Benefits
• We invest in and empower our team members with competitive compensation packages, well deserved time off and benefits to keep you and your family healthy! * • 💰 The base salary range for this role is expected to be between $150-200k CAD based on the candidate’s skills, experience, and qualifications while considering internal pay equity and our broader pay philosophy. 💰 • $150-200k CAD • If you have questions about compensation as we move through the process, we’re happy to discuss further. • Benefits depend on employment type (full-time, part-time, contract, etc). • Things to Note 📝 • Things to Note 📝 • Background checks - Because our customers trust us with sensitive information, we require all successful candidates to undergo comprehensive background checks before joining our team. We focus strictly on global sanctions and criminal offences that are directly relevant to employment at Clariti, and follow all applicable privacy and human rights legislation. • Background checks • Travel- Although we operate as a remote company, all roles are expected to participate in occasional travel for in-person company-wide or departmental meetings, typically 1-2 times per year. Additional travel requirements specific to the role, if any, will be outlined in the job description. • Travel • We're committed to building an inclusive culture where our team members take ownership over projects, tasks, and outcomes; bring a growth mindset to drive continuous learning and self-development; have the ability to communicate courageously in a direct but respectful way; and are customer-focused by keeping the customer at the heart of decision-making. It’s the diversity of our team that helps us make better decisions, by leveraging the diversity in thought & experience across to create impactful solutions as we explore new paths & challenges as we grow. We’re working to create a workplace and team that is as diverse as the communities we serve. We welcome and encourage candidates of all backgrounds to apply. • take ownership • growth mindset • communicate courageously • customer-focused • We welcome and encourage candidates of all backgrounds to apply. • Questions? We are here to help • If you require accommodations in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in our hiring process for any reason, please direct your questions to [email protected] and we’ll be happy to support you.
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