Machine Learning Developer
Offre en anglaisJob Title - Machine Learning Software Engineer Location- onsite at Toronto- Canada Responsibilities To build cutting edge GenAI solutions throughout the research and product development lifecycle; To play a key role in the design and development of Borealis’ AI powered products; To partner with RBC Borealis’ research and product teams to ensure the seamless delivery of these products; To apply engineering and data best practices to build robust and scalable large-scale AI powered software systems; To support projects with thorough documentation, design decisions, and technical advisory. E…
- Sur place
- ONTARIO
- Publié 14 juill. 2026
- Postuler avant le 13 août 2026
- 1 poste
Résumé du poste
Job Title - Machine Learning Software Engineer Location- onsite at Toronto- Canada Responsibilities To build cutting edge GenAI solutions throughout the research and product development lifecycle; To play a key role in the design and development of Borealis’ AI powered products; To partner with RBC Borealis’ research and product teams to ensure the seamless delivery of these products; To apply engineering and data best practices to build robust and scalable large-scale AI powered software systems; To support projects with thorough documentation, design decisions, and technical advisory. Expectations / Skillset Required Experience building modular and robust software systems in Python or similar language; Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management; Experience working across the entire ML\GenAI research and product lifecycle from prototyping to production is a plus; Experience building microservices, data pipelines and using relational and non-relational databases is a plus; Experience with Front-end development and best practices is a plus; Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus. Salary And Other Compensation The annual salary for this position is between $ 85-99Kdepending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Ce que vous ferez
The Machine Learning Developer will build cutting-edge GenAI solutions and play a key role in the design and development of AI-powered products. They will partner with research and product teams to ensure seamless delivery and apply engineering best practices.
Exigences
Candidates should have experience building modular software systems in Python and knowledge of software engineering best practices. Experience across the ML/GenAI lifecycle and with microservices, data pipelines, and DevOps is a plus.
Avantages
• Medical Insurance • Dental Insurance • Vision Insurance • Life Insurance • Paid Holidays • Paid Time Off • 401(k) Plan • Long-term Disability • Short-term Disability • Paid Parental Leave • Employee Stock Purchase Plan
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- Software Engineering
- Machine Learning
- GenAI
- Microservices
- Data Pipelines
- Relational Databases
- Non-relational Databases
- Front-end Development
- DevOps Engineering
- CI/CD Pipelines
- Containers
- Documentation
- Technical Advisory
Renseignements supplémentaires
- Expérience minimale
- 2+ ans
- Postuler avant le
- 13 août 2026