Full Time Machine Learning Data Annotation Jobs in Vancouver, BC

We are seeking a highly skilled and motivated Applied AI Lead to join our team. This role is critical to building and maintaining scalable data pipelines and infrastructure that support AI and machine learning workflows and systems. 

KIE 's Design Management team is driving clients to turn to Kiewit during all stages of design-build projects to manage their multi-disciplined design teams to improve schedule, control costs and minimize risk. Our construction-focused engineers analyze root causes and resolve design issues before they impact schedule and budget. Particularly on large design-build projects, clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and design best practices for all projects that we support.

Our participation leads to safe, cost effective, and innovative designs that achieve client expectations and further Kiewit's legacy of excellence.

On our team, you'll have the opportunity to see more, touch more, and do more than you ever imagined. Working hard will not only bring you satisfaction from a job well done, but it will help propel your career forward faster than you might expect. We will train you, develop your skills, and allow you to take on projects that impact millions across North America. With top-notch health benefits, a wealth-building 401k plan (RRSP), and unbeatable growth opportunities, by joining Kiewit, you're ensuring a lifetime of success.

This position is based out of our Burnaby, BC location. Remote work maybe considered for candidates who resides and live within a reasonable distance from from these locations, and depending on qualifications. No relocation is offered for this role.

• Data Pipeline Development: Maintain and enhance scalable Python-based data pipelines to process, synchronize, and structure robotic perception data for ML workflows.

• Database & Cloud Storage Management: Manage PostgreSQL AWS RDS instances and AWS S3 buckets to track and store raw and processed multimodal data.

• Tooling & Automation: Build custom Python tools for data extraction and transformation to support internal and downstream ML users. Automate pipeline execution via scheduled batch jobs, transitioning from manual processes to nightly workflows.

• Web Application Development: Contribute to a full-stack internal web application (FastAPI backend, React/Next.js TypeScript frontend) for data visualization, search, and cloud job triggering.

• Infrastructure-as-Code & DevOps: Manage AWS infrastructure (EKS, ECR, S3, RDS) using Terraform, integrated with GitLab CI/CD for reproducible deployments.

• Design workflows and tools to interface with external data annotation vendors, including REST API uploads and quality checks.

• Testing & Reliability: Implement unit testing frameworks using Python to ensure reliability and maintainability of internal tools.

• Agile Collaboration: Actively participate in Agile ceremonies including sprint planning, daily stand-ups, and sprint reviews.

• BS in Computer Science or equivalent.
• Proven track record of three years in systems and software development, supporting innovation in North American technology and engineering sectors.
• Demonstrated experience performing as a technical lead with experience managing software teams and the ability to work in a fast-paced, matrixed organization with executive exposure.  
• Experience in working on complex projects and/or projects relating to AI, data and machine learning with multiple disciplines.
• Strong proficiency in Python and experience with data pipeline development.
• Must be proficient with AI, Machine Learning, ML workflows and tools.
• Experience collaborating with senior managers to understand drivers of success and departmental goals.
• Strong customer management skills; ability to manage more than one client.
• Strong analytical, problem-solving, and communication skills (oral and written)
• Proven ability to self-direct work efforts and lead others
• Highly motivated, with a demonstrated passion for excellence and taking initiative
• Team player with the ability to work independently to meet deadlines, goals and objectives
• Strong organization, time management, and attention to detail