Technology Lead AI engineer

• 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 ofMississauga Ontarioor be willing to relocate to the areas.
• Bachelors 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 4 years of Information Technology experience
• 4 years of experience in Big Data technologies.

• Develop data preparation tasks while identifying patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases (e.g. forecasting models LLM-based solutions) while refining algorithms to meet business needs and ensure smooth deployment into scalable production-ready solutions.
• Conduct testing and optimize algorithms for performance reliability and scalability while providing guidance to team members in best practices.
• Design and develop predictive models and data-driven analyses to address business challenges.
• Build evaluate and deploy models standardize code and contribute to knowledge management.
• Leverage tools like SAS and R/Python to create reusable customizations for non-ML ML and deep learning algorithms while enhancing analytics including LLMs and create innovative cost-effective solutions.
• Define analytics problems for projects; execute 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 recommend improvements and document discrepancies for escalation.
• Maintain comprehensive documentation standards while participating in knowledge transfer sessions.
• Participate in discussions with stakeholders to refine requirements provide insights and guide implementation of models.
• Apply the predefined quality measurement framework at an individual task level in the project.
• Deploy complex analytics tools or multi-system integration while validating deployment success.
• Participate in developing scripts or templates for repeated deployments tasks.
• Contribute to analytic solutions IP asset creation and training initiatives.
• Contribute to thought leadership such as papers innovative non-ML ML deep learning or LLM models and proofs of concepts.
• Participate in and deliver analytics training while contributing to content creation.
• Provide input for segment and unit-level business plans.
  

• Deliver scalable high-quality analytics solutions aligned to business needs.
• A knack for optimization deployment and performance improvement of models.
• The ability to drive innovation through advanced analytics automation and thought leadership.
• Enable team growth through knowledge sharing training and standardization.
• Support business planning with data-driven insights.

• Exposure to Machine Learning pipelines or MLOps workflows.
• Experience with Databricks platform.
• Experience with AWS/GCP.

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 over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their 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 childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.