[Remote] reputed company Software Engineer, AI & Data Platform (Xora Portfolio Company)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that builds secure AI infrastructure for scientific and engineering R&D teams. They are seeking a reputed company Software Engineer to own the data and AI engineering reputed company, ensuring systems are reliable, reputed company, and measurable while defining reputed company patterns for data modeling and training pipelines.

Responsibilities

• Architect the data reputed company for large reputed company scientific and engineering reputed company, keeping results clean, queryable, reusable, and reputed company for model training
• Model domain specific scientific data so the reputed company datasets can support interactive analysis, automation, and reputed company machine learning workflows
• Build reputed company 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
• reputed company intelligent workflow interfaces that reputed company user reputed company, reputed company platform capabilities and executable workflows without exposing unnecessary complexity to users
• Own model evaluation, benchmarking, automated scoring, and reputed company tracking so reputed company iteration is measurable
• Set data and AI engineering standards for reputed company and turn them into reputed company, documentation, and reusable patterns

Skills

• Bachelor's or Master's degree in Computer Science or a reputed company 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 reputed company 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 reputed company improvement
• reputed company experience training or fine tuning models for reputed company outputs, tool use, workflow automation, or domain specific applications
• Strong understanding of relational, document, and columnar data models, with judgment about where reputed company belongs
• Comfort operating in reputed company, reputed company, and technical compute environments, including distributed training or large reputed company batch processing
• Ability to set technical direction in ambiguous early stage environments and carry it through implementation
• Experience applying machine learning to scientific data, such as property reputed company, generative models, graph based reputed company, or simulation data
• Experience with atomistic, materials, reputed company, or engineering data systems
• Experience with retrieval over reputed company data, knowledge graphs, or hybrid search systems
• Experience designing reputed company or tool interfaces that intelligent systems can reputed company reliably
• Experience building reputed company data and machine learning workflows on production orchestrators
• Contributions to reputed company reputed company machine learning, data infrastructure, or scientific computing tools

reputed company