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Ai / Ml Engineer (Hybrid)
Company | Shift Technology |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting |
Expires | 2023-07-29 |
Posted at | 10 months ago |
Did you know that about 10% of all insurance payouts are flowing directly into the pockets of fraudsters? The future of insurance starts with Decisions Made Better.
- This role is part of our Data Science team which is the largest team in our organization consisting of over 140+ Data Scientists throughout the world.
- Our company is small enough that each person’s achievements has an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.
- Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.
- As a member of the data science team, you will be working alongside our technical experts and your role will be key to rolling out our enterprise level solutions to our clients.
- Automate key business tasks by implementing them in our production process framework in C#
- Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
- Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases or defining the roadmap of evolutions
- Developing, testing, tuning models and putting them in production for tasks such as fraud detection and automation detection in complex environments.
- You will actively participate in the development of our suite of products: fraud detection, anti-money laundering, and claim automation; and working on various data types such as structured data, free text, documents and images.
- Business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products
- AI-savvy, either by having a degree in machine learning and/or statistics. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
- Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis
- Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users- writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking.
- Flexible remote and hybrid working options
- Focus Fridays, a half-day each month to focus on learning and personal growth
- Company equity
- 2 MAD Days per year (Make A Difference Days for paid volunteering)
- Generous PTO and paid holidays
- Competitive Salary and a variable component tied to personal and company performance
- Mental health benefits
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