Technology Lead - AI engineer

Infosys; Mississauga; On-site; CAD 92,740 - 123,375; Full time

Job summary

Infosys is seeking an experienced AI Engineer in Mississauga, Ontario to design, develop, and optimize scalable big‑data solutions. You will build high‑performance batch and real‑time data pipelines using Hadoop ecosystem and Spark, collaborating with data engineers, architects, and business stakeholders to deliver robust data processing systems.

The role requires 4+ years in Big Data technologies, a Bachelor’s degree or equivalent, and willingness to relocate to the Mississauga area.

Qualifications

• Bachelor’s degree or foreign equivalent is required.
• Candidates with at least three years of progressive experience may substitute for each year of education.
• At least 4 years of Information Technology experience.
• 4+ years of Big Data technologies experience.

Responsibilities

• Develop data preparation tasks and identify patterns or anomalies.
• Ensure data readiness for advanced modeling and analytics projects.
• Develop models for complex use cases including forecasting and LLM-based solutions.
• Conduct testing and optimize algorithms for performance and scalability.

Skills

Communication

Stakeholder collaboration

Problem solving

Adaptability

Education

Bachelor’s degree or foreign equivalent

3+ years equivalent experience substitute degree

Tools

SAS

R/Python

Spark

Hadoop

Databricks

AWS

GCP

Job description

Infosys is seeking an experienced AI Engineer to design, develop, and optimize scalable big‑data solutions. The candidate will work on building high‑performance batch and real‑time data pipelines leveraging the Hadoop ecosystem and distributed computing frameworks (Spark). The role involves working 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 to the area.
• Bachelor’s degree or foreign equivalent required from an accredited institution. Candidates with at least three years of progressive experience in the specialty may be considered in lieu of each year of education.
• At least 4 years of Information Technology experience.
• 4+ years of experience in Big Data technologies.

Technical Responsibilities

• 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), refining algorithms to meet business needs and ensuring 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, enhancing analytics including LLMs, and creating 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 on 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 deployment 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.

Your Contribution To The Team

• Deliver scalable, high‑quality analytics solutions aligned to business needs.
• Optimize, deploy and improve performance of models.
• 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.

Nice To Have

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

Compensation

Ontario: $92,740 to $123,375 per year.

Work Conditions

The job entails sitting as well as working at a computer for extended periods of time. The candidate should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

EEO Statement

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.