AI Developer II, Full Stack; Python​/React

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.

Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

• Flexible work arrangements and a hybrid work model
• Possibility to purchase up to 5 extra days off per year
• Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
• Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

94,200 – 115,200

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

10%

As part of our commitment to Win As A Team
, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35‑hour workweek and would represent the majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

We’re looking for an AI Developer, Full Stack (Python/React) II to join our growing team!

• Join a cross‑functional team developing innovative data product to solve business problems.
• Write well‑designed, efficient code that can be tested, repeatedly.
• Influence the AI roadmap of the biggest P&C insurer in Canada.
• Keep pace with new technologies and use them in your own solutions.
• Work within a multi‑disciplinary environment mixing people from data science, software engineering, actuarial science, business and design.
• Share knowledge with interns, data scientist and other software developer to grow, as a team.

• A bachelor’s degree in computer science, software engineering or any combination of equivalent education and experience.
• Proficiency in Python, REST/ Graph
  
  QL APIs, AWS (S3, Lambda, sagemaker or similar services).
• Experience with machine learning and scientific computing libraries such as scikit‑learn, Num Py, Sci Py, Tensorflow, etc.
• Experience with pipelines, Ingestions/automations.
• Good knowledge of software engineering practices such as design patterns, knowledge of the development cycle and other tools such as Git, Jira, Confluence.
• The commitment to be a great, collaborative teammate.
• Unlimited curiosity and a passion to challenge the status quo.
• Ability to focus on vaguely defined issues requiring the application of a creative approach.
• Strong communication, time management and work organization skills.
• If you don’t have experience in the AI field, a strong motivation to learn this new and exciting field.
• For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English‑speaking colleagues across the country.
• No Canadian work experience required however must be eligible to work in Canada.

• Highly desired:
  Frontend experience with React framework, Typescript, async handling & state management tool.
• Knowledge of Dev Ops modern tools such as Docker, Kubernetes, ELK.
• Knowledge of the development technologies such as Mongo
  
  DB, Kafka.
• Experience developing data and machine learning pipelines.
• Experience in Insurance domain.

Il s'agit d'un nouveau rôle au sein de notre équipe en pleine…