Senior Machine Learning Engineer

🕒 Abril 26

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Blanc Labs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

🏥 Saúde

💸 Finanças

💰 Venture Round em 2016-12

Consulting • Healthcare • Finance

A Blanc Labs é uma empresa de consultoria em tecnologia de serviço completo, focada em ajudar os clientes a realizarem seu potencial máximo por meio do uso criativo da tecnologia. Eles são especializados em transformação digital, estratégia e implementação de tecnologia, gerenciamento de APIs, IA, análise e automação. Seus serviços incluem integração de sistemas e melhoria de processos de negócios, especialmente nos setores de serviços financeiros e saúde. A Blanc Labs faz parcerias com líderes do setor para possibilitar experiências inovadoras aos clientes e alcançar resultados empresariais mensuráveis, com forte presença no mercado canadense.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.