Machine Learning Engineer - Edge-to-Cloud AI (Remote)

J-Squared Technologies Inc.®; Ottawa, Toronto; A distancia; CAD 90.000 - 130.000; Jornada completa

Descripción de la vacante

J-Squared Technologies Inc.® is seeking a Machine Learning Engineer to build and deploy ML models for AI products across edge and cloud platforms. You will work with computer vision, NLP, LLMs, and VLMs, taking models from research to production in demanding industrial environments.

You will design scalable ML systems, optimize for latency and cost, and collaborate with software and hardware teams while mentoring junior engineers in the ML lifecycle.

Formación

• Bachelor's or Master's degree in CS/CE or related field or equivalent practical experience.
• 4–7+ years of professional ML engineering experience.
• Strong Python skills with PyTorch or Keras and ML lifecycle knowledge.
• Solid ML fundamentals and deep learning expertise.
• Hands-on experience in CV and/or NLP, including LLMs/LVLMs/VLMs.
• Experience deploying ML models on edge devices or in cloud environments.
• Experience designing scalable, secure, cost-efficient ML systems and trade-offs between performance and cost.

Responsabilidades

• Design, train, fine-tune, and evaluate deep learning models for CV and NLP tasks.
• Work with multi-modal data: images, video, text, sensor signals.
• Stay current with research and translate ideas into prototypes.

Conocimientos

Python

PyTorch

ML lifecycle

Deep learning

Computer Vision

NLP

LLMs

Edge deployment

Cloud deployment

GPU optimization

Educación

Bachelor's or Master’s degree

Herramientas

CUDA

TensorRT

NVIDIA Triton

gRPC

SageMaker

Descripción del empleo

J-Squared Technologies Inc.® is seeking a Machine Learning Engineer to build and deploy ML models for AI products across edge and cloud platforms. You will work with computer vision, NLP, LLMs, and VLMs, taking models from research to production in demanding industrial environments.

You will design scalable ML systems, optimize for latency and cost, and collaborate with software and hardware teams while mentoring junior engineers in the ML lifecycle.