Software Engineer

PolicyAdvisor Brokerage (PAB) Inc. is an innovative, early-stage insurtech startup dedicated to revolutionizing the way Canadians access insurance. Our cutting-edge digital insurance platform provides a straightforward, user-friendly alternative to traditional offline distribution channels, transforming the insurance experience through technology and data-driven solutions. Job Overview We are seeking a passionate and highly skilled Software Developer to join our dynamic team. In this role, you will develop, implement, and optimize advanced AI and machine learning models that power our digital insurance platform. Your expertise will drive intelligent automation, enhance data insights, and support innovative product features, helping us deliver seamless and personalized insurance solutions to our customers. Responsibilities Design, develop, and deploy scalable AI and machine learning models using frameworks such as TensorFlow and other machine learning tools. Implement natural language processing (NLP) techniques to improve customer interactions and automate document analysis. Lead model training processes utilizing big data technologies like Hadoop, Spark, and ETL pipelines for data extraction and transformation. Collaborate with cross-functional teams to integrate AI solutions into the platform’s architecture, ensuring robust deployment using cloud services such as AWS. Conduct data mining and analysis to uncover actionable insights from large datasets, supporting strategic decision-making. Optimize database design and manage data workflows using SQL, SAS, Talend, and other analytics tools for efficient data handling. Stay abreast of emerging AI trends, including quantum engineering applications, to continually enhance our technological edge. Requirements Minimum 2 years of professional experience in AI/ML engineering, machine learning model development, or a related field. Proven experience in developing AI and machine learning models with frameworks like TensorFlow or similar. Strong programming skills in Python; familiarity with Java, C, Bash (Unix shell), and VBA is a plus. Hands-on experience with big data tools such as Hadoop, Spark, and Talend for data processing and analytics. Expertise in natural language processing (NLP), data mining, model training, and deployment techniques. Knowledge of cloud platforms like AWS for scalable model deployment and management. Solid understanding of database design principles, along with proficiency in SQL; experience with Looker or similar BI tools is advantageous. Familiarity with analytics software including SAS or R; experience in unstructured data analysis is desirable. Ability to work effectively in a fast-paced environment while managing multiple projects simultaneously. Job Types: Full-time, Permanent Benefits: Dental care Discounted or free food Extended health care Flexible schedule On-site parking Paid time off Vision care Work Location: In person

Design, develop, and deploy scalable AI and machine learning models to power a digital insurance platform. Implement NLP techniques and manage big data workflows to enhance automation and data-driven insights.

Requires a minimum of 2 years of professional experience in AI/ML engineering with proficiency in Python and TensorFlow. Candidates should have hands-on experience with big data tools like Hadoop and Spark, as well as cloud deployment on AWS.

• Dental care • Discounted or free food • Extended health care • Flexible schedule • On-site parking • Paid time off • Vision care

• SQLSouhaitée
• Amazon Web ServicesSouhaitée
• JavaSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AI/ML Engineering
• TensorFlow
• Natural Language Processing
• Python
• Hadoop
• Spark
• AWS
• SQL
• Data Mining
• ETL Pipelines
• Database Design
• Talend
• SAS
• R
• Java
• Looker

• Software
• Technology
• Data & Analytics
• Finance & Accounting
• Engineering

Expérience minimale

2+ ans

Postuler avant le

7 oct. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Associate

Mode de candidature

La candidature directe est offerte