Senior Machine Learning Engineer

This is a remote position.

• Driving and improving MLOps practices across the ML environment
  
• Building and optimizing CI/CD pipelines using GitLab
  
• Implementing ML experiment tracking and model management with MLflow
  
• Productionizing and deploying machine learning models using AWS SageMaker
  
• Designing and maintaining scalable ML and data pipelines
  
• Developing and maintaining Python-based ML and data infrastructure
  
• Implementing monitoring and observability for ML systems
  
• Providing technical guidance and mentoring to Data Scientists, Data Engineers, and MLOps Engineers
  
• Applying software engineering best practices, including testing, documentation, and system design
  
• Collaborating with Product Managers, Data Scientists, Engineers, and business stakeholders
  
• Evaluating and introducing new technologies to improve ML capabilities
  

Requirements

• 5+ years of professional experience in Machine Learning Engineering
  
• Strong experience deploying and maintaining production ML systems
  
• Expert-level Python skills and knowledge of the data science ecosystem
  
• Hands-on experience with AWS, preferably AWS SageMaker
  
• Strong knowledge of MLOps practices and lifecycle
  
• Practical experience with MLflow
  
• Experience with GitLab CI/CD
  
• Experience with at least one major deep learning framework, e.g. PyTorch or TensorFlow
  
• Experience designing and building scalable ML and data pipelines
  
• Experience with ML system monitoring and observability
  
• Ability to design, document, and communicate complex technical architectures
  
• Experience mentoring and providing technical guidance to other engineers and data scientists
  
• Strong communication and stakeholder management skills
  
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  

• Master's or PhD in Computer Science, AI, or Machine Learning
  
• Experience with Prometheus, Grafana, or Evidently AI
  
• Experience working with large-scale recommender systems
  
• Strong understanding of software engineering and system design principles
  

Benefits

• B2B contract
  
• Engagement in technically challenging projects with a mature engineering culture
  
• Friendly and collaborative work environment
  
• Opportunities to work with modern technologies and enterprise-scale infrastructure
  
• Supportive team culture focused on knowledge sharing and professional growth