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Internship - Technological Innovation Developer, AI profile

  • Laval, QC
  • Hybrid
  • Posted Sep 27, 2026
  • 1 position

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Employment type
Full-time
Experience level
Entry, Junior · 0+ years
Minimum education
Bachelor’s degree
Apply by
Oct 25, 2026
Posting language
English
Working hours
40 hours per week
Seniority
Internship

Job summary

Develop and test AI-focused technological prototypes, proofs of concept, and experimental modules, and help integrate research findings into Croesus products. Analyze datasets, support lab tools and cloud infrastructure, document technical decisions and results, and present project progress to the team and stakeholders.

Job details

Company Description Croesus provides innovative, high-performance, and secure wealth management solutions that include portfolio management systems, portfolio rebalancing tools, and application programming interfaces (APIs). These solutions empower wealth management professionals to improve their productivity, enhance their client relationships, make informed decisions, and maximize the management of their assets under management. Croesus’s mission is to provide a superior experience to its clients, users, partners, and employees and to positively impact the community. With more than 200 employees in its Montréal, Toronto, and Geneva offices, Croesus has won several industry awards for being a high-quality solution provider and an outstanding employer. Position Within the Croesus Lab, collaborating with a multidisciplinary team, you will participate in the exploration and development of innovative technological solutions in the field of artificial intelligence. You will have the unique opportunity to collaborate with researchers, master's, and Ph.D. students on innovative projects that will shape the future of our industry! You will contribute to the design, development, and testing of technological prototypes, in collaboration with our internal R&D team. You may also participate in integrating research findings into Croesus products, as well as setting up the tools and infrastructure necessary for the smooth operation of the lab. As a Contributor To This Team, The Student Could Participate in research and experimental development work by implementing prototypes to address technological uncertainties related to business opportunities. Participate in implementing prototypes, proofs of concept, or experimental modules. Support the integration of research findings into Croesus products in collaboration with engineering teams. Analyze and transform datasets, including occasionally participating in dataset creation and annotation. Participate in the development, configuration, or deployment of development tools (CI/CD, MLOps, etc.) and lab cloud infrastructure. Document developed solutions, technological choices, and experimental results. Regularly present project progress to the team and project stakeholders. Actively participate in team meetings and sprint reviews. Desired Profile Student in their final or penultimate year of a bachelor's degree, or pursuing a master's or Ph.D. in AI, computer science, software engineering, or a related field. Skills Knowledge of Python and relevant artificial intelligence frameworks (Scikit-Learn, Pandas, NumPy, LangChain, etc.). Strong interest in new technologies and solving complex problems. Quick learning ability, resourcefulness, and autonomy. Comfort step outside one's comfort zone to explore new technological approaches. Strong oral and written communication skills with an ability to simplify complex topics. Ability to collaborate effectively within a multidisciplinary team. Knowledge of Python and/or languages like C#, C++. Knowledge of version control tools (e.g., Git). Experience in web development (e.g., Angular, REST APIs), an asset. Knowledge of Docker, Kubernetes, and CI/CD tools, an asset. Experience with cloud environments (AWS, Azure, Google Cloud), an asset. Experience in operations research or big data processing, an asset. Participation in AI projects or competitions (e.g., Kaggle, hackathons), an asset. Experience Relevant AI experience in a professional context. Here is what we offer to Croesus interns! Participation in social activities at head office, Laval location Breakfast and snack offer Happy hours every two weeks Hybrid remote work policy (head office in Laval / office in Toronto) Croesus Gym Chair massage therapy Free parking + EV charging stations Proximity to Montmorency metro station CROESUS Boutique Goodies Are you interested in this challenge? Do you believe you have the qualities and expertise required for this position? Please complete your application today. Although all applications are carefully analyzed, we will communicate only with those selected. Thank you for your interest in Croesus.

What you’ll do

Develop and test AI-focused technological prototypes, proofs of concept, and experimental modules, and help integrate research findings into Croesus products. Analyze datasets, support lab tools and cloud infrastructure, document technical decisions and results, and present project progress to the team and stakeholders.

Requirements

Applicants should be in their final or penultimate year of a bachelor's degree, or pursuing a master's or Ph.D. in AI, computer science, software engineering, or a related field. They should have Python and AI framework knowledge, strong problem-solving and communication skills, and the ability to learn independently and collaborate; experience with relevant technologies and AI projects is an asset.

Benefits

  • Social Activities
  • Breakfast and Snacks
  • Biweekly Happy Hours
  • Gym
  • Chair Massage Therapy
  • Free Parking
  • Electric Vehicle Charging Stations
  • Proximity to Montmorency Metro Station
  • Company Merchandise

Listed skills

  • Kubernetes · Preferred
  • REST APIs · Preferred
  • CI/CD · Preferred
  • Angular · Preferred
  • Docker · Preferred
  • C++ · Preferred
  • Git · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • Artificial Intelligence
  • Scikit-Learn
  • Pandas
  • NumPy
  • LangChain
  • Git
  • C#
  • C++
  • Web Development
  • Angular
  • REST APIs
  • Docker
  • Kubernetes
  • CI/CD
  • MLOps

Job areas

  • Technology
  • Software
  • Science & Research
  • Data & Analytics
  • Finance & Accounting

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