Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Our Employer Partner is looking for a Senior MLOps Engineer, AI Experience with a proven track record of Spring and Python who have worked with agentic AI and data engineering and have deployed cloud-native applications in production.
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Key Responsibilities
Architect and implement scalable batch and streaming pipelines for structured and unstructured data.
Design and maintain dimensional and analytical data models to support ML workflows, including LLM training and inference.
Lead ELT orchestration using Airflow and DBT for complex AI/ML pipelines.
Integrate and manage data across BigQuery, Delta Lake, and Databricks environments.
Collaborate with AI/ML teams to version, serve, and monitor datasets for fine-tuning and inference.
Build and optimize feature pipelines and data services for RAG-based and agentic AI systems.
Champion CI/CD, observability, and monitoring best practices for data infrastructure.
Ensure secure, compliant, and scalable data platforms across Azure and GCP.
Qualifications
7+ years of proven leadership in designing data pipelines and real-time systems.
Strong architectural skills in data modeling and warehouse integrations.
Experience driving adoption of IaC and CI/CD best practices.
Expertise in data quality, lineage, and cataloging.
Knowledge of privacy regulations (GDPR, PIPEDA).
Ability to partner with AI/ML teams for RAG and agentic systems.
Proficiency in platform observability and cloud deployments.
Strategic thinking in governance frameworks and data architecture.
Mentorship and thought leadership experience.
Benefits
Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across our organization. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the organization and are committed to creating and maintaining an inclusive and accessible environment for everyone. Our organization continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
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APPLY NOW!
We thank all applicants for their interest. However, only those selected for the next step will be contacted.
