adp
Senior Machine Learning Developer
Novarc Technologies
CAN
Full-time
Senior · 5+ years experience
Onsite
CAD 128984-144200 yearly / year
Discovered 2 weeks ago
PyTorchTensorFlowOpenCVCNNRNNTransformer
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PyTorchTensorFlowOpenCV
Key Skills for This Role
PyTorchTensorFlowOpenCVCNNRNNTransformer
Full Job Posting
- Model Development & Research
Participate in technical interviews, onboarding, and mentoring to help build and scale the machine learning engineering team.
Build, train, and evaluate computer vision/ML models (detection, segmentation, tracking, pose estimation, image fusion) using PyTorch and TensorFlow.
Fine-tune neural network architectures (CNN, RNN, Transformer) and classical ML methods for real-time welding process sensing.
Define short and long-term machine learning technology roadmaps, lead fast prototyping, and select AI tools and framework architectures.
Implement vision-language-action (VLA) models and foundation architectures for spatial reasoning and multi-modal perception.
Develop and integrate world models for predictive perception, spatial reasoning, and dynamic environmental simulation in adaptive welding scenarios.
Develop closed-loop reinforcement learning (RL), imitation learning, and continuous learning policies for complex control tasks, adaptive manipulation, and robotic feedback loops.
Architect simulation-to-real (Sim2Real) pipelines and synthetic data workflows (Isaac Gym, MuJoCo) to accelerate domain randomization
- Physical AI & Robotics Integration
Fuse vision, arc, and thermal sensor data to enable real-time robotic decision-making.
Integrate ML outputs with motion control, PLCs, and robot controllers within target latency, power, and compute budgets.
Support toolpath and trajectory optimization for stress reduction, energy efficiency, and faster cycle times.
- Deployment, Testing & MLOps
Optimize models for real-time edge implementation and maximize hardware efficiency using quantization, pruning, TensorRT, and ONNX Runtime on embedded platforms.
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