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AI/ML Architect

Infinite Computer Solutions

This is a Contract position in Toronto, ON posted June 25, 2020.

Job Title AIML Architect Duration Long term contract Location Toronto, Canada Job Summary The ML Architect is responsible for the design and development of Machine Learning models and other data processing algorithms for new and existing customer implementations into Insight.

The ML engineer works closely with multiple internal Iron Mountain teams to develop detailed tech driven implementation solutions, createenhance tools for improving performance.

Essential Job Responsibilities Design and development of ML models using Python to perform classification and entity extraction of various forms of digital content (Images, Audiovideo, and other digital file formats).

Work with project managers, solution architects and other ML engineers to deliver ML-based solutions.

Perform feasibility analysis and deliver PoCs for various customer requirements associated to the processing of digital content.

Applying effective visualization tools to make descriptive analysis and results intuitive and informative to the team and customers.

Assisting in designing and executing predictive modeling projects using rigorous statistical methods and machine learning techniques.

Work closely with the business to identify issues and use data to propose solutions for effective decision-making.

Skills Deep understanding on Machine Learning and AI techniques.

Deep understanding of Cloud Technologies and solutions
– GCP Preferred.

Strong technical background and understanding of enterprise solutions Proficient in software programming Proven internalexternal written and verbal communication, interpersonal and analytical skills Ability to multi-task and prioritize issues in a complex environment.

Good team player Thanks Regards, Prasanth Kumar.

R Executive Recruiter Infinite exciting timeshellipinfinite possibilitieshellip IT Services Product Engineering Mobility Messaging Telecom Media Healthcare Banking Finance Hi-Tech Technology Tel 1
– (347) 468
– 9475 Email