Nika.eco – Carbon Data Analyst Intern

Company
Nika.eco
nika.eco
Designation
Carbon Data Analyst Intern
Date Listed
13 Aug 2023
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Flexible Start, For At Least 6 Months
Profession
Environment / Health
Industry
Computer and IT
Location Name
Ayer Rajah Avenue, one-north MRT Station (CC23), Singapore
Address
9 Ayer Rajah Ave, Singapore 138647
Map
Allowance / Remuneration
$1,100 - 1,300 monthly
Company Profile

Nika.eco (https://nika.eco) is building AGI applications for climate purposes. As driven by ex-AWS folks with a mission to reinstate integrity and transparency to the climate space, it currently runs CarbonGPT (AI Carbon Expert) and ChatGIS (Next-Gen Geospatial Analysis via Text Prompt). We started in the carbon market, which is so slow-paced because of ineffective tools such as ArcGIS and long PDFs used. We don’t just want to build the most disruptive AI software in this space, but also wish to create the most amount of indirect impact on fighting climate change by channeling resources to the most deserved areas.

We are now at a fast growing stage, with customers onboarding every week. We need to maintain our current techstack while building new features. It is a really exciting space, where we can see how Artificial Intelligence and Geospatial analysis work hand in hand to solve a problem that affects the destiny of entire humankind.

Job Description

Responsibilities

  • Prepare land use land classification via Python for forest, mangrove, peatland, agriculture plantations, water, etc. via machine learning models on satellite data
  • Finetuning and Prompt Engineering on LLM such as OpenAI GPTs and Meta Llama2

Learning Outcomes

  • Equipped with AGI skill sets in almost every aspect of work
  • Gain in-depth geospatial analytical skills using Python
  • Equipped with structured working practices that can be translated into other job functions, after working in fast-pace startup

Qualifications

  • Undergraduate student
  • Learns new tech skills super fast, e.g. able to fully understand Transformer architecture within 1 day
  • Read research papers and methodologies such as VMD0007 and its individual moduleswithout an issue
  • [Bonus] knows how to code and train machine learning model
This position is already closed and no longer available.  You may like to view the other latest internships here.

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