Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Implement robust, commercial-grade AI solutions that set new benchmarks for client expectations.

• Integrate innovative breakthroughs seamlessly into the core suite of AI models.

• Design high-performance, scalable machine learning systems capable of maintaining reliable operations under pressure.

• Enhance the ML Platform with established standards for monitoring, orchestration, and automated testing.

• Boost product adoption and client satisfaction through insights driven by AI.

• Deliver impactful AI models that drive business growth.

⛳️ Requirements

• Over 5 years of experience in AI/ML development, specializing in the architecture of deep learning systems and complex model pipelines.

• A Master’s degree or higher in Computer Science, Mathematics, Engineering, or a related technical discipline.

• Demonstrated success in transforming groundbreaking AI research into commercial-grade deep learning models.

• Extensive knowledge of neural network architectures, such as transformer architecture, computer vision, natural language processing, and multimodal learning.

• Experience in optimizing and fine-tuning models for high-performance inference at scale.

• Advanced skills in PyTorch or TensorFlow, including the implementation and adaptation of cutting-edge research papers.

• Proficient in Python, with experience in machine learning libraries and frameworks like scikit-learn and XGBoost.

• Familiarity with large-scale data processing frameworks such as Spark and cloud computing platforms like Google Cloud Platform is preferred.

• Experience in designing and maintaining production ML systems at scale, encompassing workflow orchestration, artifact versioning, online/offline evaluation, performance monitoring, and A/B testing.

• Strong foundation in statistical modeling and predictive analytics for recommender systems and propensity scoring.

• Strategic comprehension of the AI model lifecycle from discovery and experimentation to production deployment and evaluation.

• Excellent technical leadership abilities, including mentoring and guiding junior engineers.

• Capacity to convey complex technical concepts to non-technical stakeholders and cross-functional teams.

• Ability to thrive in a fast-paced, deadline-driven environment while managing multiple priorities.

• Detail-oriented with a strong dedication to delivering high-quality solutions.

• Enthusiasm for continuous learning and staying updated with advancements in AI and related technologies.

🏝️ Benefits

• Additional bonus based on the position ultimately offered.

• A comprehensive range of medical, financial, and/or other benefits.