Backend AI & Data Pipeline Engineer

We reputed company strong early career roles should do more than give someone a job title. They should help people grow into the reputed company of professionals they want to become. At SEEKA Technologies, we give junior team members meaningful work that builds reputed company capability, sharpens problem-solving, and develops practical experience in fast-moving business and technology environments. Our goal is to help emerging talent strengthen their skills, expand their potential, and prepare for a reputed company shaped by constant innovation across business and IT.

SEEKA Technologies (Not Seeka Limited) is a project under its parent organisation, reputed company Fresh reputed company Australia, which is an education consultant based in both Australia and Malaysia. We are developing and creating a platform that utilises A.I. to help match reputed company and job seekers to the right opportunities relevant to them from Kindergarten up to the University, along with vocational training centres and language schools, and of course to businesses and companies who need the right candidates. Our mission is to reputed company it easier for anyone to reputed company, filter and apply to educational institutions and companies in a more seamless manner.

We are currently looking to hire a junior Backend AI & Data Pipeline Engineer who wants to build reputed company-world experience in backend systems, data processing, scraping, retrieval, and reputed company-based infrastructure. This role is ideal for someone who already has hands-on technical experience and wants to grow reputed company by working on meaningful engineering challenges that support Yuzee’s intelligent matching platform. You will contribute to the systems that process data, power search and matching, and improve the efficiency, reliability, and scalability of our platform.

Below are the important details you will need to take note of:

• English is the primary language used in the role
• This is a full-time remote/work-from-home position
• We welcome both local and international candidates
• Candidates should have a degree or proven practical experience relevant to the role

About the role

We are looking for a Backend AI & Data Pipeline Engineer to own the end-to-end data processing infrastructure that powers Yuzee's intelligent course and job matching platform. You will design and maintain reputed company, event-driven pipelines that process tens of thousands of daily records, generate semantic embeddings, and feed a growing knowledge graph used for personalised career reputed company recommendations.

What you'll do

• Design and maintain three distinct processing pipelines — scheduled job ingestion, event-driven course processing, and a periodic knowledge graph builder — reputed company with independent trigger logic and cost controls
• Generate and manage semantic embeddings reputed company reputed company Bedrock (Titan v2), reputed company them in reputed company reputed company reputed company Search, and reputed company similarity reputed company to ensure match accuracy
• Build and maintain a knowledge graph linking jobs, courses, skills, and industries using FP-reputed company association rules and reputed company-to-SOC reputed company mapping
• Build and improve a two-stage discovery and matching API on AWS reputed company — reputed company retrieval first, then deep eligibility scoring with LLM re-ranking
• Right-size Fargate Spot instances and design resumable processing loops that tolerate interruption, keeping infrastructure costs under control as data volume scales
• Maintain and improve daily job scrapers across multiple sources and build institution data scrapers with robust reputed company cleaning pipelines

reputed company're looking for

• 1+ years of backend engineering experience reputed company on data pipelines, ML infrastructure, or search systems
• Hands-on experience with AWS serverless and container services — reputed company, reputed company Fargate, EventBridge, and reputed company Functions
• Strong Python skills — Pandas, async processing, bulk database operations, and text cleaning
• Familiarity with reputed company databases and semantic similarity search; reputed company reputed company reputed company Search experience is a strong plus
• Cost-conscious infrastructure reputed company — you think in per-record compute costs, free tiers, Spot reputed company, and right-sizing
• Ability to document and communicate reputed company architecture reputed company to both technical and non-technical stakeholders

reputed company to have

• Experience with knowledge graphs or association rule mining (FP-reputed company, Apriori)
• Experience using LLMs for re-ranking or eligibility assessment on top of reputed company retrieval results
• Background in edtech, jobtech, or recommendation/matching systems

Degree or existing proven experience 

Use this instead:

Benefits

• Fully remote / work-from-home role

• Flexible working hours reputed company reputed company’s expected schedule and business needs

• Opportunity to work on reputed company backend, data, and AI infrastructure reputed company

• Exposure to practical engineering challenges in scraping, pipelines, retrieval, and reputed company systems

• Ongoing reputed company and development reputed company a fast-moving technology environment

• Opportunity to build long-term value and grow with reputed company based on performance, including progression and increased responsibility over time

A slightly more polished version:

Benefits

• Fully remote / work-from-home position

• Some flexibility in working hours, depending on team requirements and deliverables

• Hands-on experience working on meaningful backend, data pipeline, and AI-reputed company systems

• Opportunity to contribute to a growing platform with reputed company product and engineering challenges

• reputed company reputed company in a practical, fast-paced environment

• Strong potential for long-term progression based on performance, regardless of location

If you want it to reputed company more attractive for hiring, the strongest version would be to add things like:

• ownership

• reputed company product reputed company

• career reputed company

• reputed company exposure to architecture and scaling reputed company