- Lead the design, development, and deployment of AI and ML models and systems, focusing on scalability, reliability, and performance.
- Collaborate with cross‑functional teams, including data scientists, software engineers, and product managers, to deliver end‑to‑end AI/ML solutions.
- Design, implement, and maintain advanced machine learning algorithms (supervised, unsupervised, reinforcement learning, etc.) to solve complex problems across various domains.
- Utilize deep learning frameworks (such as TensorFlow, PyTorch, Keras, etc.) and apply them to real‑world applications.
- Work with large‑scale datasets, preprocess and clean data, and ensure efficient data pipelines to support machine learning models.
- Continuously evaluate and optimize the performance of deployed models using A/B testing, cross‑validation, and other methods.
- Contribute to the development of AI/ML best practices, standards, and methodologies.
- Provide technical leadership and mentorship to junior team members.
- Stay current with the latest advancements in AI/ML technologies and research to incorporate into solutions and drive innovation.
- Communicate technical findings, strategies, and progress to stakeholders, including non‑technical teams.

Required Qualifications

- 10+ years of skilled experience in AI/ML software development, with at least 5 years in a leadership or senior technical role.
- Bachelor’s degree in Computer Science, Engineering, Mathematics,



or a related field (Master’s or PhD preferred).
- Proven experience with machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).
- Expertise in deep learning techniques and frameworks (CNNs, RNNs, Transformers, etc.).
- Strong programming skills in Python (preferred), Java, C++, or similar languages.
- Extensive experience in developing, training, and fine‑tuning large‑scale machine‑learning models.
- Proficiency in cloud computing platforms such as AWS, GCP, or Azure, especially related to AI/ML services.
- Hands‑on experience with big data technologies (e.g., Hadoop, Spark, SQL, NoSQL).
- In‑depth knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Ability to work in a collaborative and agile environment, contributing to all stages of the development lifecycle.

Preferred Qualifications

- Familiarity with natural language processing (NLP), computer vision, and reinforcement learning.
- Experience with AI/ML deployment frameworks such as TensorFlow Serving, TorchServe, or Kubeflow.
- Familiarity with DevOps practices and CI/CD pipelines.
- Previous experience with AI/ML‑driven products in production at scale.
- Strong understanding of statistics, mathematics, and optimization techniques.

Excellent communication and problem‑solving skills

#J-18808-Ljbffr

📌 AI/ML Engineer (Canada)
🏢 BrainWave Professionals
📍 Canada