Applied AI Specialist – Data Systems

Get started on an exciting career at Element!

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first then business delivering on our promise of a superior client experience. This takes hard work and innovation and we need more like-minded people on our team.

About the Role

Were looking for a detail-oriented reliability-focused and methodical professional to join our team as Applied AI Specialist Data this role you will build and maintain production-grade data foundations that directly enable machine learning model training experimentation and deployment. This role independently owns small AI-ready datasets feature pipelines and data services that power AI-enabled products ensuring reliable scalable and well-governed data for model development and inference in production environments. We are seeking candidates who demonstrate an active interest in emerging AI tools agentic systems and applied machine learning beyond traditional data engineering responsibilities. While this role has a core focus on AI-ready data foundations the expectation is that team members are adaptable and willing to expand into adjacent AI engineering work including supporting agent development and evolving AI product needs as priorities shift.

What Youll Do

• Design build and maintain data pipelines that directly support machine learning experimentation model training and production inference workloads whilst collaborating with technology stakeholders.
• Prepare curated datasets for supervised and unsupervised learning use cases including feature extraction transformation normalization and labeling workflows.
• Partner with AI engineers to support algorithm development feature engineering and model performance optimization.
• Develop and operationalize data workflows supporting model deployment monitoring retraining and version control.
• Implement data integration patterns for ML pipelines using tools such as MLflow Airflow dbt and CI/CD workflows.
• Support scalable model serving environments and ensure data reliability for APIs and AI-driven applications.
• Build maintain and optimize batch and/or streaming ETL/ELT pipelines using SQL and Python.
• Implement monitoring and alerting for model training datasets and inference inputs (freshness drift anomalies).
• Independently own small AI data components or features from design through production release.
• Contribute to code reviews Git workflows testing practices and technical documentation.

Basic Qualifications

• Bachelors degree in Computer Science Engineering Data Science or related field (or equivalent practical experience).
• 13 years of hands-on experience (including internships/co-ops) in data engineering machine learning systems or software engineering.
• Demonstrated experience supporting machine learning model experimentation training pipelines or deployment workflows.
• Strong proficiency in Python and SQL.
• Familiarity with ML frameworks such as scikit-learn TensorFlow or PyTorch.
• Experience working with cloud platforms (AWS Azure or GCP).

Preferred Qualifications

• Familiarity with MLflow Airflow dbt or similar orchestration/MLOps tools.
• Nice to have: familiarity with vector databases (e.g. Pinecone Weaviate Bedrock Knowledgebase) and graph databases (Neo4j Neptune).
• Nice to have Familiarity with framework conversion: TensorFlow PyTorch TensorRT ONNX to inference optimization.
• Communicates clearly documents decisions welcomes feedback and learns quickly in an environment that expects both ownership and continuous improvement.

Location: Toronto

The hiring base salary range for this position is 76300 - 104900 annually. Actual compensation within this range will be dependent upon the individuals knowledge skills experience equity with other team members and alignment with market data. Please note that the disclosed salary range is solely for candidates hired to perform work within this geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location.

Whats in it for You
A culture of innovation empowerment decision-making and accountability
Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
Additional benefits and amenities including paid time-off programs (vacation sick leave and holidays) (for qualified roles)

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity equity inclusion and belonging. We are pleased to consider all qualified applicants for employment without regard to race color religion genetic information sex gender identity sexual orientation age marital status family status ancestry national origin citizenship physical or mental disability veteran status military obligations or any other characteristic protected by federal state and local laws. Disability-related accommodations during the application and interview process are available upon you require an accommodation with our hiring process please send an email to or call . Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example your rēsumē and screening responses) to identify job-related skills qualifications and experience. AI outputs do not by themselves determine whether you advance or receive an offer they assist recruiters and hiring managers. Final hiring decisions are made by people.