AI/ML Engineer (NLP/LLMs/Prompt Engineering)

Sustainability Economics

About the Company:

Sustainability Economics is a global organisation targeting the markets of US, Japan, EU, UK, Canada and Singapore. As a pioneer, our focus is on the Lifecycle Management of E2E Net-Zero transitions while leveraging our automation-first approach. We offer our collaborative services at an international level and counsel our clients on transition solutions and decarbonisation strategies. With our team of professionals who have extensive domain and technical knowledge, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion.

Role Summary:

We are seeking a talented Machine Learning Engineer with a strong background in AI/ML to join our team. In this role, you will be responsible for developing and implementing the state-of-the-art Natural Language Processing (NLP) models to enhance and support our suite of products and services. You will work closely with a team of domain experts, data analysts, and software developers to develop innovative solutions that can help businesses prepare for the effects of climate change.

Key Tasks and Accountability:

  • Strong Foundations on the conceptual & implementation aspects of machine & deep learning models.
  • Experience on using the LLMs, Hugging Face, LangChain, API Design.
  • Keep abreast of the latest advancements in NLP and ML to ensure our solutions remain at the forefront of technology.
  • Programming Language Experience in Python.
  • Work closely with domain experts to understand the latest research findings and incorporate them into models.
  • Collaborate with software developers to create user-friendly interfaces and tools that can be used to visualize and analyze climate scenarios.
  • Stay up to date with the latest developments in AI/ML and climate science, and explore new opportunities for innovation and improvement.

Educational & Experience:

  • Bachelor’s or master’s degree in a relevant field, such as engineering, statistics, or Mathematics
  • Strong background in AI/ML, with experience developing and implementing models in Python, R, or similar languages
  • Experience working with large datasets and data processing tools, such as SQL, Hadoop, or Spark
  • Familiarity with climate science and related disciplines, such as meteorology, oceanography.
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences
  • Strong problem-solving skills, with the ability to work independently and as part of a team
  • Passion for environmental sustainability and the ability to work in a fast-paced, dynamic environment

Skills: Python, Data Analysis, Machine/Deep Learning, Natural Language Processing

If you meet the qualifications and are excited about the opportunity to work at the intersection of AI/ML and climate science, we encourage you to apply.

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