6 days ago
Remote, CanadaStaff+
Responsibilities
- Define the technical vision, architecture, and strategic development of enterprise AI/ML pipelines.
- Lead, mentor, and guide AI/ML engineers and data scientists while driving technical excellence and architectural decisions.
- Deploy, manage, fine-tune, optimize, and scale pre-trained and custom AI models, including LLMs and vision models, in production.
- Transform research prototypes into resilient production-grade AI systems and integrate AI capabilities into enterprise applications.
- Optimize model performance, latency, and cost across cloud and edge deployment targets.
- Implement MLOps practices including automated testing, model CI/CD, versioning, monitoring, logging, explainability, and maintenance.
- Partner with senior leadership, product managers, clients, solution architects, data scientists, and software engineering teams to align AI roadmaps with business goals.
- Stay current with AI/ML research, generative AI, data engineering, and MLOps deployment strategies.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field; a Ph.D. is a plus.
- 7–10 years of progressive experience in machine learning engineering, ML-focused software development, or a related role.
- Expert knowledge of ADK and other agentic frameworks, with experience implementing agents in production.
- Proven technical leadership, mentoring, architectural decision-making, and project delivery experience.
- Expert Python programming skills and proficiency with TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience deploying and fine-tuning advanced pre-trained models, including LLMs and generative AI technologies, in low-latency production environments.
- Extensive experience with AWS, GCP, Azure, Docker, and Kubernetes.
- Proficiency in data engineering principles, ETL/ELT processes, and Git.
- Experience orchestrating complex ML pipelines using Kubeflow, MLflow, or managed cloud services.
- Experience building and optimizing scalable, distributed AI/ML systems.
- Strong communication and collaboration skills across technical and business stakeholder groups.
Benefits
- Fully remote work from home with no daily office travel requirement and a stable internet connection.
- Competitive total rewards package; compensation details are not specified.
- Training allowance, professional development days, training opportunities, and certification support.
- Laptop with a choice of operating system and an annual home-workspace personalization budget.
- Annual wellness budget, paid vacation and sick days, and a paid day off for volunteering.
- Blog during work hours and take a day off to volunteer for a favorite charity.
Tech Stack
Categories
About Pythian
Pythian is an Ottawa-based IT services firm providing data, analytics, AI, and cloud consulting plus 24/7 managed database and infrastructure operations for mid-market and enterprise clients. Founded in 1997 and privately held, it is part of Mill Point Capital’s portfolio; its engineers support Oracle, SQL Server, MySQL, NoSQL, and DevOps across multi-cloud and on-premises environments. Its business model combines project-based consulting, implementations, and recurring managed services.