AI Engineer

Infosys Limited is seeking Senior Analyst - Data Science. In this role, you will enable digital transformation for our clients in a global delivery model, research on technologies independently, recommend appropriate solutions and contribute to technology-specific best practices and standards. You will provide inputs for identifying best-fit architectural solutions for one or more projects; develop design of applications, provide regular support and guidance to project teams on complex coding and issue resolution with the objective of ensuring best-fit and high-quality technical solutions within the area of technology specialization and in compliance with guidelines, policies and norms of Infosys. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

• Master's Degree or foreign equivalent in AI Engineering/ Data Science required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• Candidate must be located within commuting distance of Mississauga, ON be willing to relocate to the area.
• At least 2 years of experience in Information Technology.
• At least 1 year of experience in AI, data engineering, creating data pipelines and processing huge volume of data.
• At least 1 year of experience in Machine learning engineering /MLE, data science and data engineering with a proven track record of delivering impactful solutions.
• 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.

• Scalable AI Solution Deployment - Experience in designing and implementing scalable AI and Data Science solutions capable of handling large-scale, distributed data and compute workloads across hybrid and cloud-native environments (OCI).
• Performance Tuning for AI/ML and GenAI Workloads - Experience in hyperparameter tuning and performance optimization for AI/ML and Generative AI models to maximize accuracy, efficiency, and resource utilization.
• AI Full stack: Experience in in any full stack /development experience in Python or Java, or .Net or React, Node.js, Flask/Django, REST APIs, Terraform automation .
• Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch, NLP.
• Good understanding of Agile software development frameworks.
• Strong communication and Analytical skills.
• Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams.
• Experience and desire to work in a global delivery environment.