Machine Learning Engineer

TL;DR

Machine Learning Engineer: Developing and managing machine learning models and pipelines with an accent on supervised and unsupervised learning, survival analysis, and time series modeling. Focus on building predictive models, MLOps practices, and deployment using frameworks like TensorFlow, PyTorch, and tools such as Docker, Kubernetes, and SageMaker.

Location: Remote work available within Portugal with relocation required within Portugal

Company

hirify.global connects tech professionals with national and international partners, offering personalized career support and benefits.

What you will do

• Develop and maintain predictive machine learning models including churn prediction and sales forecasting
• Implement and manage model lifecycle processes including training, version control, deployment, and monitoring
• Apply supervised and unsupervised learning techniques, survival analysis, and time series modeling
• Utilize MLOps tools and principles such as CI/CD pipelines, Docker, Kubernetes, Airflow, and SageMaker
• Collaborate with partners across diverse tech sectors as a consultant

Requirements

• Must have at least 5 years of professional experience in machine learning engineering or similar roles
• English proficiency at least B2 level
• Availability for remote work and relocation within Portugal
• Strong knowledge of machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Experience with model lifecycle management and MLOps tools

Culture & Benefits

• Welcome kit upon joining
• Opportunities for career progression
• Health insurance coverage
• Meal card benefits
• Special discounts and protocols