Senior ML / AI Data Engineer @ UK Startup - 71MN Vietnamese Dong at Arlington Heights Chrysler Jeep Dodge Ram

, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

2500.0

Posted On

06 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Data Engineering, SQL, PostgreSQL, Supabase, LLM APIs, Vector Databases, dbt, Pandas, SQLAlchemy, PostHog, Pinecone, Weaviate, RAG pipelines, Segmentation models

Industry

technology;Information and Internet

Description

Help us turn raw user behaviour into product intelligence. Across our portfolio we have rich data - engagement patterns, subscription signals, session depth, conversion funnels - and we're ready to operationalise it. You'll build pipelines, segmentation models, and LLM-powered features that drive decisions across every product. Hands-on from day one, working directly with the CTO . Tasks Design and build data pipelines consolidating signals from Supabase, PostHog, and RevenueCat Build and ship ML segmentation models to identify high-value users, churn risks, and conversion-ready cohorts Develop and maintain LLM-powered features: agents, RAG pipelines, personalisation systems Instrument and evaluate AI agent performance using LLM-as-judge and related evaluation patterns Build internal tooling for behavioural analysis - session replay, cohort formula tooling, user journey mapping Translate data insights into actionable product changes in collaboration with the product team Contribute to the notification intelligence layer - ML-driven segmentation and send-time optimisation Requirements 5+ years in ML engineering, data engineering, or applied AI - ideally B2C or product-led Strong Python skills and fluency with data tooling (pandas, dbt, SQLAlchemy or similar) Experience building and deploying ML models in production - not just notebooks Hands-on with LLM APIs: Anthropic Claude, OpenAI, Gemini, or open-source models Experience with vector databases and embedding pipelines (pgvector, Pinecone, Weaviate) Familiarity with PostHog, Mixpanel, or equivalent product analytics platforms Solid SQL skills - comfortable querying PostgreSQL / Supabase at scale Independent self-starter who communicates findings clearly to non-technical stakeholders Benefits Live products with real users - not internal tools or greenfield prototypes Remote-first, async culture with high autonomy Fast-moving team that ships constantly - no endless planning cycles Equity-aligned model: we build products we co-own with creators

Responsibilities

You will design and build data pipelines while developing ML segmentation models and LLM-powered features to drive product intelligence. You will also collaborate with the product team to translate data insights into actionable product changes.