Overview Infosys is seeking an experienced AI Engineer to design, develop, and optimize scalable big data solutions. The role involves building high-performance batch and real-time data pipelines leveraging the Hadoop ecosystem and distributed computing frameworks (Spark). You will work closely with data engineers, architects, and business stakeholders to deliver robust, scalable, and efficient data processing systems.
Required Qualifications 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.
Candidate must be located within commuting distance of Mississauga, Ontario or be willing to relocate.
Bachelor’s degree or foreign equivalent required from an accredited institution or three years of progressive experience in the specialty in lieu of every year of education.
At least 4 years of Information Technology experience.
4+ years of experience in Big Data technologies.
Responsibilities Develop data preparation tasks, identify patterns or anomalies, and ensure data readiness for advanced modeling.
Develop models for complex use cases (e.g., forecasting models, LLM-based solutions) and refine algorithms for production-ready deployment.
Conduct testing and optimize algorithms for performance, reliability, and scalability; provide guidance on best practices.
Design and develop predictive models and data-driven analyses to address business challenges; build, evaluate, and deploy models; standardize code; contribute to knowledge management.
Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms; enhance analytics including LLMs and create innovative, cost-effective solutions.
Define analytics problems, perform visualization, analysis,



and predictive modeling under guidance; proactively maintain models and implement improvements for accuracy and reliability.
Apply governance controls to mitigate risks and ensure compliance; analyze performance trends and document discrepancies for escalation.
Maintain comprehensive documentation and participate in knowledge transfer sessions; engage with stakeholders to refine requirements and guide model implementation.
Apply the predefined quality measurement framework at an individual task level; deploy complex analytics tools or multi-system integrations and validate deployment success.
Develop scripts or templates for repeated deployment tasks; contribute to analytic solutions, IP asset creation, and training initiatives.
Contribute to thought leadership through papers, cutting-edge non-ML, ML, deep learning or LLM models, and proofs of concepts; participate in analytics training and content creation.
Nice to Have Exposure to Machine Learning pipelines or MLOps workflows.
Experience with Databricks platform.
Experience with AWS/GCP.
Compensation and Location Estimated annual compensation range for the candidate based in Ontario: $92,740 to $123,375.
The job entails sitting and working at a computer for extended periods; ability to communicate by telephone, email, or face-to-face. Travel may be required as per the job requirements.
About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation with an AI-powered core that prioritizes change and continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
EEO Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices and observances, national origin, pregnancy or related medical conditions, status as a protected veteran or spouse/family member of a protected veteran, or disability.

#J-18808-Ljbffr

📌 Technology Lead - AI engineer (Ontario)
🏢 Infosys
📍 Ontario