Principal Software Engineer, AI & Data Platform

Xora Innovation

Principal Software Engineer responsible for architecting data foundation for AI & Data Platform. Overseeing large scale scientific and engineering output within Elemynt's innovative platform.

Posted 7/14/2026full-timeSingapore • 🇸🇬 SingaporeLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and optimizing data pipelines for machine learning and scientific applications, with a strong focus on data quality, model training, and workflow automation. Proficient in Python and experienced in large scale data systems, ensuring effective data management and analysis.

Highest-signal resume keywords

Expert Python ProgrammingLarge Scale Data SystemsData Pipeline DevelopmentModel Training and Fine TuningCloud and Distributed Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentMachine Learning WorkflowsModel Evaluation and BenchmarkingData Curation and DeduplicationRelational and Document Data ModelsTraining Optimized FormatsAPI DesignAutomated ScoringQuality TrackingScientific Data Modeling

Soft Skills

Technical Direction SettingProblem SolvingCollaboration

Tools & Technologies

Cloud EnvironmentsDistributed TrainingProduction OrchestratorsAnalytical StoresObject Storage

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering

Industry Keywords

Scientific DataMachine LearningWorkflow AutomationKnowledge GraphsHybrid Search SystemsOpen Source Contributions

Tech Stack

Tools & technologies

CloudOpen SourcePython

About the role

Key responsibilities & impact

Architect the data foundation for large scale scientific and engineering output, keeping results clean, queryable, reusable, and ready for model training.
Model domain specific scientific data so the same datasets can support interactive analysis, automation, and downstream machine learning workflows.
Build scalable data processing patterns across object storage, analytical stores, and training optimized formats.
Create machine learning data pipelines for curation, deduplication, formatting, evaluation sets, and regression tracking.
Build and operate training and fine tuning pipelines for models used in scientific and workflow driven products.
Develop intelligent workflow interfaces that connect user intent, structured platform capabilities and executable workflows without exposing unnecessary complexity to users.
Own model evaluation, benchmarking, automated scoring, and quality tracking so each iteration is measurable.
Set data and AI engineering standards for the team and turn them into code, documentation, and reusable patterns.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science or a related engineering field, with 10 plus years building and shipping production software.
Expert Python and a strong record of shipping systems end to end.
Deep experience with large scale data systems, including object storage, analytical processing, training optimized formats, and production data pipelines.
Hands on experience building data pipelines for model training, fine tuning, evaluation, and continuous improvement.
Direct experience training or fine tuning models for structured outputs, tool use, workflow automation, or domain specific applications.
Strong understanding of relational, document, and columnar data models, with judgment about where each belongs.
Comfort operating in cloud, enterprise, and technical compute environments, including distributed training or large scale batch processing.
Ability to set technical direction in ambiguous early stage environments and carry it through implementation.
Nice to have: Experience applying machine learning to scientific data, such as property prediction, generative models, graph based methods, or simulation data.
Experience with atomistic, materials, chemistry, or engineering data systems.
Experience with retrieval over structured data, knowledge graphs, or hybrid search systems.
Experience designing APIs or tool interfaces that intelligent systems can call reliably.
Experience building complex data and machine learning workflows on production orchestrators.
Contributions to open source machine learning, data infrastructure, or scientific computing tools.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Xora Innovation Website LinkedIn All Job Openings 11 - 50 employees Founded 2019 🤖 Artificial Intelligence ⚡ Energy Venture Capital
Artificial Intelligence
Energy Xora Innovation is a venture capital firm that partners with exceptional entrepreneurs in the deep tech space, focusing on transforming essential industries. Xora provides financial support and commitment to innovative companies that are building tomorrow's global infrastructure across three key sectors: Compute & Communications, Climate & Energy, and AI in Physical Industries. Principal Software Engineer, AI & Data Platform 🔥 25 minutes ago 🏢🏡 Singapore – Hybrid ⏰ Full Time 🔴 Lead 🏗️ Platform Engineer Cloud Open Source Python Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Architect the data foundation for large scale scientific and engineering output, keeping results clean, queryable, reusable, and ready for model training.
Model domain specific scientific data so the same datasets can support interactive analysis, automation, and downstream machine learning workflows.
Build scalable data processing patterns across object storage, analytical stores, and training optimized formats.
Create machine learning data pipelines for curation, deduplication, formatting, evaluation sets, and regression tracking.
Build and operate training and fine tuning pipelines for models used in scientific and workflow driven products.
Develop intelligent workflow interfaces that connect user intent, structured platform capabilities and executable workflows without exposing unnecessary complexity to users.
Own model evaluation, benchmarking, automated scoring, and quality tracking so each iteration is measurable.
Set data and AI engineering standards for the team and turn them into code, documentation, and reusable patterns. 🎯 Requirements
Bachelor’s or Master’s degree in Computer Science or a related engineering field, with 10 plus years building and shipping production software.
Expert Python and a strong record of shipping systems end to end.
Deep experience with large scale data systems, including object storage, analytical processing, training optimized formats, and production data pipelines.
Hands on experience building data pipelines for model training, fine tuning, evaluation, and continuous improvement.
Direct experience training or fine tuning models for structured outputs, tool use, workflow automation, or domain specific applications.
Strong understanding of relational, document, and columnar data models, with judgment about where each belongs.
Comfort operating in cloud, enterprise, and technical compute environments, including distributed training or large scale batch processing.
Ability to set technical direction in ambiguous early stage environments and carry it through implementation.
Nice to have: Experience applying machine learning to scientific data, such as property prediction, generative models, graph based methods, or simulation data.
Experience with atomistic, materials, chemistry, or engineering data systems.
Experience with retrieval over structured data, knowledge graphs, or hybrid search systems.
Experience designing APIs or tool interfaces that intelligent systems can call reliably.
Experience building complex data and machine learning workflows on production orchestrators.
Contributions to open source machine learning, data infrastructure, or scientific computing tools. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs