Senior Machine Learning Developer

4 weeks ago

Old Toronto, Ontario, Canada Quincus Full time

Explore Opportunities with a Leading Technology Firm in Logistics

About Quincus

Quincus is a well-established B2B supply chain operating SaaS platform founded in 2014, headquartered in Singapore. We address global supply chain challenges through innovative technology. By utilizing artificial intelligence and machine learning, we have transformed and optimized the logistics process, providing our clients with comprehensive visibility into their supply chain operations.

Prepare to engage in an exciting logistics adventure with Quincus.

Position Overview

At Quincus Research, we are at the forefront of developing sophisticated systems for our diverse product range. Our committed teams work in unison to integrate state-of-the-art computer science methodologies into our initiatives, ensuring we adapt to the dynamic requirements of the ever-evolving business environment.

Role Summary

We are seeking a dedicated and proficient machine learning engineer to contribute to our innovative projects. In this position, you will be instrumental in architecting and executing scalable frameworks for deploying deep learning and reinforcement learning algorithms on a broad scale.

Core Responsibilities

  • Architect and implement scalable infrastructures for deep learning and reinforcement learning models
  • Optimize model performance through advanced techniques
  • Utilize GPU computing to expedite model training and inference
  • Create production workflows for machine learning applications
  • Collaborate with interdisciplinary teams on system architecture and execution
  • Oversee and enhance the efficacy of machine learning models
  • Stay updated on the latest advancements in deep learning and reinforcement learning

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related discipline
  • 3+ years of experience in software or machine learning engineering
  • Proficient in Python (knowledge of C++ or Java is advantageous)
  • Experience with TensorFlow, PyTorch, and GPU programming
  • Familiarity with distributed systems and cloud services such as Kubernetes and AWS

Preferred Qualifications

  • Ph.D. in Computer Science, Electrical Engineering, or a related field
  • 5+ years of experience in software or machine learning engineering
  • Expertise in reinforcement learning and model deployment
  • Strong understanding of computer architecture and performance optimization
  • Exceptional communication and teamwork skills

If you are passionate about implementing machine learning algorithms at scale and wish to be part of a pioneering team engaged in advanced technology, we encourage you to consider this opportunity.

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