Technology Lead – Analytics

Infosys Limited; Mississauga; Hybrid; CAD 122,000 - 160,000; Full time

Job summary

A global leader in digital services is seeking an MLOPS Engineer with a strong background in designing and deploying machine learning models using the MLOPS framework. The ideal candidate will have experience with Azure ML and will work with clients to diagnose issues and design effective solutions. Candidates should have at least 3 years of IT experience and 2 years in MLOPS, alongside relevant Azure or GCP certifications. This role offers a competitive compensation range of $89,004 to $115,491 annually.

Qualifications

• Minimum 3 years of experience in Information Technology.
• Minimum 2 years of experience specifically in MLOPS.
• Azure Certified – DP100, AZ/AI900, or equivalent GCP certifications.

Responsibilities

• Design and deploy machine learning models using the MLOPS framework.
• Work with clients to diagnose problems and design solutions.
• Analyze multiple solutions considering stakeholder needs.

Skills

Python programming for ML deployment

Azure or GCP cloud environments

Setting up MLOPS frameworks

GAIID DevOps experience

Client communication skills

Education

Bachelor’s degree or foreign equivalent

Tools

JIRA

Pytest

git

REST APIs

Job description

Technology Lead – Analytics Technology Lead- CAN

Company

ITL Canada

Requisition ID

134230BR

Infosys is seeking a MLOPS Engineer with a strong background in designing and deploying machine learning models using the MLOPS framework. The ideal candidate will work with clients to understand their issues, diagnose problems, design solutions, and facilitate deployment on Azure ML. They will also help shape consulting solutions by integrating various cloud components. The candidate should analyze multiple solutions considering stakeholder needs to select the optimal one.

Required Qualifications:

• Bachelor’s degree or foreign equivalent from an accredited institution; three years of relevant experience may substitute for each year of education.
• Authorized to work in the United States; candidates must live near Toronto, ONTARIO, or Infosys Hub Locations in Canada, or be willing to relocate.
• Minimum 3 years of experience in Information Technology.
• Minimum 2 years of experience specifically in MLOPS.
• Proficiency in Python programming for ML deployment, adhering to clean code standards.
• Experience in Azure or GCP cloud environments.
• Azure Certified – DP100, AZ/AI900, or equivalent GCP certifications, including DevOps certification.
• Experience setting up MLOps frameworks, monitoring, and dashboarding of MLOps runs.
• Implementation experience in DevOps for at least 2 years.
• Knowledge of industry standards and operational KPIs in MLOps.

Preferred Qualifications:

• Experience working in Agile environments, managing teams, and tracking progress via JIRA.
• Strong client communication skills.
• Domain expertise in Retail, CPG, and Logistics sectors.
• Experience with Test Driven Development, Pytest, git, and REST APIs.

The role may involve extensive travel and requires the ability to work at a computer for long periods and communicate effectively via phone, email, and face-to-face.

Estimated annual compensation in Ontario ranges from $89,004 to $115,491.

About Us:

Infosys is a global leader in digital services and consulting, supporting clients across over 50 countries in their digital transformation efforts. With over 40 years of experience, we focus on AI-powered enterprise solutions, agile digital delivery, and continuous skill development. We are committed to equal employment opportunities regardless of race, color, sex, gender identity, sexual orientation, religion, national origin, pregnancy, veteran status, or disability.