Machine Learning Engineer - NLP

at  Boon Global

IN A NUTSHELL:

We are looking for a Machine Learning Engineer to join our 15-month-old, rapidly growing, psychological AI startup to build robust AWS infrastructure solutions for the Boon Platform which tackles complex questions about human behaviour, and in doing so, tackle some of the most challenging issues of our time. You will be working closely and collaboratively with our Lead Engineer, Lead Data Scientist, Lead Front-End Developer, and Lead Behavioural Scientist.

RELEVANT EXPERIENCE & MINDSET:

• Minimum of 2+ years’ experience in developing data science models, including NLP models, and deploying them in a production environment
• Bachelors degree in computer science, data science, mathematics, statsitics, 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 containerisation 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

Our focus is to use cutting edge data science and behavioural science techniques to answer complex questions about human behaviour. We work with non-profits, municipalities, strategy consultancies, and businesses to solve business and societal challenges. At our core, we’re a company founded on the premise that data can be used for social good, and we take on as many projects as possible aligned to that mission.
We are an early stage startup and are looking for a Machine Learning engineer to enhance our Boon Platform by integrating cutting-edge NLP technologies and supporting our data-driven applications through robust software engineering practices.