Data Scientist

7 days ago

Cebu City, Central Visayas, Philippines YAi Digital Full time ₱960,000 - ₱1,440,000 per year

Location:
Remote (Preferably with experience working with UK/EU clients, but not required)

Team:
Product & Engineering (3 tech team members currently)

Reports to:
Co-Founder / CTO

Salary: Php80,000-120,000

About YAi Digital

At YAi Digital, we're building a platform that enables marketing teams to automate their campaign process from ideation to execution using state-of-the-art AI agents and large language models (LLMs). Backed by Google, Microsoft and Seedrs, we're on a mission to help agencies and multi-brand companies scale content without scaling headcount.

The Role

We're seeking a Data Scientist / AI Engineer to lead experimentation and performance optimisation of our LLM-based agents. You'll help define the infrastructure and methodologies around agent evaluation, fine-tuning, and ongoing learning, with a focus on quality, speed, and alignment with marketing use cases.

This is a unique opportunity to shape the future of marketing AI with a high degree of ownership in a lean, high-impact team.

Key Responsibilities

  • Design and conduct experiments to evaluate and improve the performance and quality of AI agents using Google Cloud's Vertex AI Experiments and Agent Engine.
  • Define and build scalable LLM Ops workflows for training, fine-tuning, and continuous learning of LLMs.
  • Design, collect, clean and adapt raw data for models' training and evaluation purposes.
  • Analyse and visualise structured/unstructured usage data to uncover performance bottlenecks, quality gaps, and behavioural insights.
  • Optimise prompt strategies and response selection pipelines for multi-agent coordination, content scoring, and summarisation.
  • Apply NLP, retrieval augmentation, and supervised learning to fine-tune content optimisation agents.
  • Collaborate cross-functionally to rapidly test, deploy, and iterate on improvements.
  • Champion best practices for performance evaluation, data governance, and ethical AI use in content automation.

What You'll Work With

  • Stack
    : Python, Google Cloud Platform (Vertex AI, BigQuery, Agent Engine)
  • Models
    : Gemini, OpenAI, OpenSource models
  • Data
    : Platform usage logs, customer content, human feedback

Requirements

  • 2+ years in applied Data Science, Machine Learning, or AI Engineering.
  • Strong Python and SQL skills; experience working with GCP (especially Vertex AI, BigQuery).
  • Experience fine-tuning or evaluating LLMs and/or deploying multi-agent architectures.
  • Solid understanding of NLP, generative AI, and machine learning evaluation metrics.
  • Ability to define testable hypotheses, design experiments, and drive measurable outcomes.
  • Comfort working in lean, asynchronous, remote-first teams.

Nice to Have

  • Experience with agent frameworks (e.g., Google Agent Development Kit, LangChain, LanGraph).
  • Familiarity with evaluating marketing or content-related AI outputs (readability, tone, brand match).
  • Exposure to reinforcement learning from human feedback (RLHF) or preference modelling.
  • Understanding of product metrics, user segmentation, and behavioural analysis.

Why Join Us

  • Work directly with founders, shaping the next evolution of AI in marketing.
  • Own core parts of the ML/AI stack from experimentation to production.
  • Build with purpose: helping real users save time, improve output quality, and gain a competitive advantage.
  • Flexible remote working environment with room to grow into a leadership position.

How to Apply

Send your CV and a short note on a recent AI/LLM project you worked on (what you did, how you measured success) to
.digital.

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