Software Engineer

🔥 0 minutes ago

🇶🇦 Qatar – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🖥 Software Engineer

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Logo of GE Aerospace

GE Aerospace

10,000+ employees

🚀 Aerospace

🏭 Manufacturing

🎖️ Defense

💰 $2G Post-IPO Debt - GE Aerospace on 2025-07

Aerospace • Manufacturing • Defense

GE Aerospace is a global aerospace company that designs, manufactures, and services jet engines, components, and integrated systems for commercial and military aircraft. Headquartered in Cincinnati, Ohio, the company operates 60+ manufacturing locations, 15+ overhaul and component repair sites, and multiple engineering centers across 24 countries, employing roughly 53,000 people. GE Aerospace invests heavily in R&D (reported $2. 75B including customer/partner funding), supports large-scale commercial aviation (3. 4 billion passengers flew with GE technology in 2024) and maintains a fleet of about 45,000 engines in service. The company emphasizes U. S. manufacturing, workforce development, and a lean operating model called FLIGHT DECK, and is a major defense supplier supporting military aviation.

📋 Description

• Design, build, and ship production-grade solutions, including LLM-powered applications, machine learning models, and APIs • Consult on architecture and deliver business-strategic data science and machine learning systems • Own features end-to-end from design and implementation through testing, deployment, and production support • Build and present product architectures, write technical code, participate in design and code reviews, and demo applications to stakeholders and senior leaders • Apply the Innovator Method and lead design thinking workshops to translate customer insights into business-value solutions • Apply cloud platforms, databases, data engineering, web technologies, and numerical methods • Stay current with advances in AI, LLMs, and agentic architectures • Collaborate with teammates, share knowledge, and build cross-functional relationships across the company

🎯 Requirements

• Bachelor's degree in Computer Science or another STEM discipline • 0–2 years of professional experience in software engineering, data, or AI; internship and co-op experience counts • Proficiency in programming and debugging with Python, C++, Go, or Rust • Experience working with databases and SQL • Hands-on experience in Machine Learning, Large Language Models (LLMs), or Computer Vision • Experience building solutions on a public cloud platform such as AWS or Azure • Strong academic performance • Experience designing AI solutions and architecting distributed data systems • Familiarity with LLM application technologies and patterns, including RAG, agentic workflows, prompt engineering, vector databases, embeddings, and LLM evaluation • Experience building and serving REST APIs, such as FastAPI or Flask • Familiarity with MLOps practices, including MLflow, model registries, automated training pipelines, and model monitoring • Ability to facilitate design thinking workshops • Familiarity with Git, CI/CD, containers, and agile development • AWS and/or Azure certification preferred but not required

🏖️ Benefits

• Relocation Assistance Provided: No • Collaborative and diverse team culture • Culture focused on respect for people and giving back to the community through grants and philanthropic programming

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