Deep Learning Engineer (6-Month Contract)

? Downtown Toronto (Hybrid) | ? 6-Month Contract | ? Large Enterprise Client

Our client is seeking a Deep Learning Engineer with a strong blend of theoretical knowledge and hands-on implementation experience. The ideal candidate will have a deep understanding of the mathematics behind deep learning, including optimization techniques, backpropagation, gradient-based learning, and neural network architectures.

Key Requirements:

- 5+ years of experience in Machine Learning / Deep Learning
- Strong understanding of linear algebra, calculus, probability, statistics, and optimization methods
- Experience developing, training, and tuning deep learning models
- Hands-on expertise with PyTorch, TensorFlow, and/or Keras




- Experience with neural networks, CNNs, RNNs/LSTMs, Transformers, and modern deep learning techniques
- Strong Python programming skills
- Experience working with large datasets and production-grade ML solutions

Nice to Have:

- Experience with Generative AI, LLMs, or RAG architectures
- Cloud experience (AWS, Azure, or GCP)
- MLOps, Docker, and Kubernetes exposure

This is an excellent opportunity to join a leading enterprise organization and contribute to the development of cutting-edge AI and deep learning solutions in a team-oriented hybrid environment.

📌 Deep Learning Engineer (Toronto)
🏢 Encore Technical Solutions
📍 Toronto