Senior Machine Learning Engineer
Malaga, Spain
hace 5 días
  • Creating infrastructure for managing the full ML lifecycle, including dataset management, model training, serving, version control, deployment and monitoring
  • Applying state-of-the-art research to automation and document processing models, including deep learning, federated learning and differential privacy
  • Building systems to manage and document our repository of models to support explainability and Model Risk Management (MRM)
  • Bridging model-building and production by translating the work of ML scientists from environments such as Jupyter notebooks to modular, Enterprise-grade software packages
  • Supporting data / AI research scientists to run experiments at scale on our in-house ML Ops platform
  • Working on cross-functional teams including product management, AI / data scientists and engineering to build out technical requirements for our ML products
  • Contributing to model monitoring and deployment capabilities in our ML Ops platform
  • Assisting in vendor evaluations for build vs. buy and partnership opportunities
  • Requirements

  • Strong software engineering experience and proficiency in Python
  • Solid understanding of design patterns and OOP
  • High-level understanding of machine learning and deep learning techniques (image and document processing is a plus)
  • Hands on experience with contemporary deep learning tools and frameworks including PyTorch, TensorFlow, KubeFlow, Scikit-learn, Pandas
  • Experience with cloud computing (AWS, Google Cloud, Azure)
  • Familiarity with DevOps tools and container orchestration (Kubernetes, Docker, Jenkins)
  • Experience working with parallel / distributed computing using CPUs / GPUs
  • Strong communication skills and excellent software engineering habits, including documenting code, working with teammates on pull requests, and contributing to team engineering culture and best practices
  • Experience working on Agile, self-organizing teams, writing user stories
  • Nice to have

  • WorkFusion RPA experience
  • WorkFusion Certification
  • We offer

  • Extended opportunity to grow professionally in a cross-cultural environment
  • Access to various on-line courses from leading provider
  • Access to engineering communities on a global scale
  • Unlimited access to LinkedIn learning solutions
  • Social benefits in line with local legislation
  • Health insurance and meal vouchers programs
  • Special discount program for EPAMers with providers across Malaga and in other cities around the world
  • Regular team collaboration events
  • Office in a good location with easy access
  • Referral bonuses
  • Relocation support (for people from other countries)
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