Senior/Lead Machine Learning Engineer – REF 275 – 01

Full Time, Permanent
Remote in Europe and South America

 

Purpose of the Role

You will bring your expertise in machine learning and data science, your analytical mindset and strong programming skills. The team will build and refine ground-breaking NLP technologies, solving existing and future problems. The ML team will work in close cooperation with the data team, developing neural networks for multi-label classification, named-entity recognition, various types of segmentation, hybrid approaches of transformers and deep learning, all optimized for specific deployment platforms.

Duties and Responsibilities

  • Work in close collaboration with product management, QA, DevOps, clients
  • Participate in architecture discussions and project planning sessions
  • Create independent ML architecture and build Machine-Learning algorithms
  • Deploy and optimize ML solutions for various use-cases
  • Mentor the other ML engineers, supervise their work
  • Follow the latest technology trends and suggest improvements, be up-to-date with state of the art research in the field

Required Experience & Knowledge

  • Previous experience in a modern machine-learning role, with excellent understanding of engineering and operations research
  • Excellent knowledge of Python; familiarity with Scala, Java, R, Matlab or C is a plus
  • Experience with TensorFlow, Torch, NLTK, SCIKIT, Numpy, HuggingFace Transformers or other ML toolkit
  • Experience with NLP Architectures, Transformer, BERT, Named Entity Recognition and Classification
  • Familiar with Agile methodologies and implementation 

Advantages

  • Experience working with limited data sets in the legal industry is a plus
  • Ability to demo a successful ML-based solution that you’ve built and deployed

Skills and Attributes

  • Self-driven, enthusiastic and friendly persona
  • Client-oriented approach and leadership experience 
  • Ability to work independently, as well as in a cross-border team

Required Education & Qualifications

  • Advanced level of both spoken and written English language
  • Bachelor’s or Master’s degree in Computer Science or relevant experience
  • Any relevant certificate would be considered a plus

Apply Online

A valid email address is required.