drjobs Technology Lead

Technology Lead

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Toronto - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Infosys is seeking aMLOPS Engineerwith strong background in designing and deploying machine learning models using MLOPS framework. Ideal candidate will work with clients to understand the issues they face diagnose problems design solutions and facilitate solution deployment on Azure ML. One will also have the opportunity to shape valueadding consulting solutions for clients by connecting various functions of cloud the candidate uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution.

Required Qualifications:
  • 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 experience in Information Technology.
  • Candidate must live within commuting distance of Toronto ON or be willing to relocate. Travel within Canada may be required.
  • At least 4 years of experience in Information Technology in MLOPS.
  • At least 4 years of experience Python Programming for ML Model deployment with Clean code standards.
  • At least 4 years of experience in understanding of how Python works and expertise using Pandas SKLearn Dart Gradient Boosting Machines Libraries (XGBoost LightGBM Catboost) Prophet Ray and Dask.
  • At least 4 years of experience in AZURE or GCP Cloud environment.
  • Azure Certified DP100 AZ/AI900 or GCP equivalent including DevOps certification.
  • Professional experience setting up MLOPs Framework monitoring and dashboarding of MLOPs runs.
  • Deep understanding of traditional machine learning and the data science lifecycle CRISPDM knowledge.
  • At least 2 years of experience in MLOPS Framework industry standards and operations KPI
  • Candidates authorized to work for any employer in Canada without employerbased visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.
Preferred Qualifications:
  • Experienced in Agile way of working manage team effort and track through JIRA.
  • High Impact client communication.
  • Domain experience in Retail CPG and Logistics.
  • Experience in Test Driven Development and experience in using Pytest frameworks git version control Rest APIs.
The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone email and face to face.
Estimated annual compensation range for the candidate based in the below location will be:
Ontario: $ 89004 to $ 115491

About Us
Infosys is a global leader in nextgeneration 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 AIpowered 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 alwayson learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.