AI and Machine Learning Developer

Job Description

This is a remote position.

Schedule : Available during Australian business hours (AEST and AEDT)

Total Weekly Hours : 40 hours

Our client is building advanced tools for battery monitoring and data intelligence and is looking for a Philippines-based AI and Machine Learning Developer to join the team. In this role, you will help create LLM-powered assistants, build IoT data pipelines, and develop models that detect anomalies in battery systems already deployed in the field. You will also provide light customer troubleshooting when issues relate to data or model performance.

Responsibilities :

Develop and refine LLMs and RAG-based tools for diagnostics and installer support

Build anomaly detection models for battery and inverter telemetry

Create predictive maintenance indicators and automated alerting systems

Develop and maintain data pipelines for high-frequency IoT data

Collaborate with engineering teams to improve data quality, structure, and device behavior

Provide light technical troubleshooting for customers related to data or model performance

Requirements :

1–2+ years of experience in machine learning, data science, or AI engineering

Strong Python skills and familiarity with common ML frameworks

Experience or exposure to LLMs, embeddings, or RAG workflows

Comfortable working with sensor data, IoT streams, or time series datasets

Clear communication skills and confidence in a remote work setup

Nice to Have :

Experience with CANbus, RS485, RS232, or similar communication protocols

Background working with battery, inverter, or general energy system data

Familiarity with MLOps tools or cloud platforms

Experience with data visualization or dashboard tools

Work Environment :

Collaboration through Slack, GitHub, Notion, and regular stand-ups

A culture that encourages autonomy, ownership, and clear deliverables

Independent Contractor Perks :

HMO coverage (eligible locations)

Permanent work-from-home setup

Immediate hiring

ZR_29824_JOB

Requirements

1–2+ years of experience in machine learning, data science, or AI engineering Strong Python skills and familiarity with common ML frameworks Experience or exposure to LLMs, embeddings, or RAG workflows Comfortable working with sensor data, IoT streams, or time series datasets Clear communication skills and confidence in a remote work setup Experience with CANbus, RS485, RS232, or similar communication protocols Background working with battery, inverter, or general energy system data Familiarity with MLOps tools or cloud platforms Experience with data visualization or dashboard tools