Senior Machine Learning Engineer at Caylent

Yes, the position is 100% remote, with employees operating fully remote across Canada, the United States, and Latin America.

Key skills include strong experience in building ML models, AWS ML Services/SageMaker or ML libraries like Keras/Tensorflow/PyTorch, MLOps tools, big data processing with Spark/Hadoop/Python/Pandas/SQL, and understanding of feature engineering, hyperparameter tuning, and deep learning concepts.

Benefits include 100% remote work, generous holidays and flexible PTO, paid exams and certifications, peer bonus awards, state-of-the-art laptop and tools, equipment & office stipend, individual professional development plan, annual learning and development stipend, and working with a worldwide team in an incredible corporate culture.

Caylent puts people first, celebrates the culture of each team member, fosters technological curiosity, and offers an incredible corporate culture where everyone belongs, with weekly 1:1s and work in cross-functional teams.

A strong candidate has strong experience building ML models for real-world applications, expertise in AWS SageMaker or major ML libraries and MLOps tools, proficiency in big data processing, deep knowledge of ML concepts like hyperparameter tuning and deep learning, plus excellent communication skills.