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Machine Learning Engineer

2 months ago

London, Greater London, United Kingdom Boon Global Full time
About Boon Global

Boon Global is a rapidly growing, psychological AI startup that tackles complex questions about human behavior. We are looking for a highly skilled Machine Learning Engineer to join our team and contribute to the development of our Boon Platform.

Job Summary

We are seeking a talented Machine Learning Engineer to design and build scalable NLP models using state-of-the-art techniques and frameworks. The ideal candidate will have a strong background in cloud computing, NLP, and software development practices.

Key Responsibilities
  • Design and build scalable NLP models using state-of-the-art techniques and frameworks
  • Stay up-to-date with the latest advancements in NLP and machine learning, and apply new methodologies to improve existing models
  • Deploy data science models on scalable AWS cloud infrastructures, ensuring best practices for security and performance
  • Assist in Infrastructure as Code initiatives using Terraform
  • Write clean, maintainable Python code for data science software, ensuring high standards of code quality and maintainability
  • Continuously monitor and improve the performance of data science models in production
  • Work closely with cross-functional teams including behavioral scientists, data scientists, software engineers, and product managers to deliver end-to-end solutions
What We Offer
  • Flexible working with benefits to make flexible working truly work for you
  • Sponsored trainings so you can continue to learn and grow
  • Shaping purpose-driven insights and technological innovations, including climate-tech hackathons
  • Working with companies who excel in their craft – whether it be superhero movies, luxury brands or sustainability organizations
  • Crafting how companies think about human beings and how they measure behavior
  • To work with optimistic, open-minded people who value creativity, empathy, and a good laugh
Requirements
  • Minimum of 2+ years' experience in developing data science models, including NLP models, and deploying them in a production environment
  • Bachelor's degree in computer science, data science, mathematics, statistics, engineering or related field
  • Experience with NLP libraries and frameworks like spaCy, NLTK, Gensim, or Hugging Face Transformers
  • Deep expertise in cloud computing platforms such as AWS, with advanced knowledge of services like ECS, EKS, S3, VPC, Lambda, Networking, and IAM
  • Experience with infrastructure as code tools (Terraform) and containerization technologies (Docker, Kubernetes)
  • Expertise in software development practices such as version control, code reviews, software design patterns, and CI/CD practices and tools
  • Proficiency in writing clean, robust, and scalable Python code for backend functionality
  • Team player who is proactive and resilient
  • A passion for social good