Technology Architect - Machine Learning

Infosys is seeking a Machine Learning. This position will interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design; play an important role in creating the high level design artifacts; deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. This is an opportunity to be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications :

Candidate must be located within commuting distance of Montreal, Quebec or be willing to relocate to the area. This position may require travel.

Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

At least 7 years of Information Technology experience.

Candidates authorized to work for any employer in Canada without employer based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

Preferred Qualification :

Min 7+ years of experience in building end to end Data science solutions

Perform exploratory data analysis and share the findings

Develop and deploy machine learning algorithms

Need to have significant Railroad knowledge along with CN specific experience

Experience with LLM and chatbot.

Provide work estimates

Translate the solution architecture and detailed business requirements into a functional design.

Ensure that the functional design meets all business requirements.

Conduct functional and integration testing and log results. Determine appropriate resolution/solution through root-cause analysis and impact analysis

Apply, and ensure compliance with, all appropriate CN I&T standards (e.g. Security, Architecture, Project Delivery Methodology, etc.)