Machine Learning Engineer

Kiscore; Singapore; Remote; SGD 170,000 - 230,000; Full time

Job summary

KI Score is seeking a Machine Learning Engineer to develop NLP models that read AI answers and extract brands, positions, and sources. This role is remote for candidates in Singapore, with SGD salary range 170,000–230,000 per year.

You will design evaluation metrics, collaborate with data engineers to bring models into production, and stay current with evolving AI systems to improve accuracy and reliability of brand positioning in AI responses.

Qualifications

• Experience with NLP or LLM-based systems in production.
• Strong Python programming skills.
• Familiarity with evaluation methods and metrics.
• Proficient in German or English.

Responsibilities

• Build and evaluate models that extract brands, positions, and sources from AI answers.
• Design evaluation sets and quality metrics.
• Deploy models with data engineering teams.
• Monitor and adapt to new AI systems and responses.

Skills

NLP / LLM in production

Python

Evaluation methodologies

German or English

Job description

Engineering · Measurement · Singapore · SGD170,000–230,000 per year

More and more people ask ChatGPT, Perplexity, and Gemini before they buy: that's where it's decided which brand leads. KI Score measures every week whether a brand comes up in those answers, in which position and next to which competitors.

As a Machine Learning Engineer you teach our evaluation to read AI answers: which brands are named, in which position, and which sources are cited.

What you'll do

• Build and evaluate models that extract brands, positions and sources from answers
• Design evaluation sets and quality metrics
• Bring models into production together with data engineering
• Keep up with new AI systems and how they answer

Who you are

• Experience with NLP or LLM-based systems in production
• Solid Python and a sound grasp of evaluation methods
• You like measuring precisely more than guessing
• Very good German or English

Location

Singapore. We work remotely across our locations and meet for team days.

SGD170,000–230,000 per year