Senior Machine Learning Engineer

🕒 April 26

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Blanc Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

💸 Finance

☁️ SaaS

💰 Venture Round on 2016-12

B2B • Finance • SaaS

Blanc Labs is a full-service technology consulting firm focused on helping clients realize their full potential through the creative use of technology. They specialize in digital transformation, technology strategy and implementation, API management, AI, analytics, and automation. Their services include systems integration and business process improvement, especially in the financial services and healthcare sectors. Blanc Labs partners with industry leaders to enable innovative customer experiences and achieve measurable business outcomes, with a strong presence in the Canadian market.

📋 Description

• Design, build, and deploy end-to-end machine learning models using proprietary datasets • Own the full ML lifecycle, including data preparation, feature engineering, model training, evaluation, and validation • Collaborate with Data Scientists to identify and prioritize high-impact ML opportunities • Work with Principal AI Engineers to ensure models align with system architecture and engineering best practices • Package and expose trained models as scalable APIs for consumption by AI Engineers and downstream systems • Build and maintain model pipelines, including versioning, retraining, and continuous improvement workflows • Monitor model performance in production, ensuring accuracy, reliability, and relevance over time • Troubleshoot model drift, data quality issues, and performance bottlenecks

🎯 Requirements

• Strong experience in machine learning engineering, with production deployment experience • Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) • Experience with data preprocessing, feature engineering, and model evaluation techniques • Hands-on experience deploying ML models as APIs or microservices • Familiarity with MLOps practices, including model versioning, monitoring, and retraining pipelines • Experience working with large-scale or proprietary datasets • Strong software engineering fundamentals (testing, scalability, performance optimization) • Ability to collaborate effectively with cross-functional teams

🏖️ Benefits

• Equal opportunity employer • Accommodations available for candidates with disabilities