Machine learning software engineer állás, munka

• Új funkciók fejlesztése a követelmények alapján.
• Új projektigények implementálása és hibajavítás.
• Felhasználói igények megértése és javaslattétel.
• Korábbi toolok működésének analízise és továbbfejlesztése.
• A kód előállításához szükséges tesztek, kód review-k és dokumentációk készítése.

• Szoftver modulok fejlesztése a követelmények alapján a CENELEC 50128 szabvány szerint.
• Együttműködés egy nemzetközi (spanyol) fejlesztőcsapattal.
• A kód előállításához szükséges tesztek, kód review-k és dokumentációk készítése.

What awaits you? •Work as a fully integrated member of the financial reporting team, supporting daily operations. •Participate in system testing and optimization for AI-enabled financial tools. •Dive into diverse challenges: from AI chatbots, machine learning and data analytics to software...

• Support the Enterprise Analytics team in developing advanced AI and analytics solutions.
• Analyze existing processes and propose automation strategies to improve efficiency.
• Contribute to codebase development with a fresh, innovative perspective.

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

Implement, integrate, configure, enhance, and maintain Kubernetes/Helm/Java-based microservices Develop automated test cases in Java to verify both functional and non-functional requirements Collaborate with teammates and cross-functional teams Be involved in all steps of development, testing,...

• You will take a key role in developing our secure edge platform for real-time data processing applications.
• You will design, implement, and evolve robust, and observable platform components, APIs and SDKs for developing, deploying, and operating real-time applications.

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

Design and implement the frontend from UI mockups to Figma designs, evaluating feasibility, complexity, and implementation impact for optimal user experience. Own and deliver well-defined frontend stories independently, with a strong understanding of architecture, frameworks, and tools. Drive code...

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

Architect and deliver secure, high-performance microservices primarily on AWS using infrastructure-as-code tools such as Terraform and AWS CDK Deliver end-to-end software solutions in Python and Node.js, including development, deployment, monitoring, and production support Set technical direction...

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with C#, .Net and Angular Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by...

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

• You will take technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• Furthermore, you will independently identify, evaluate, and manage AI-related projects.

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

Lead the design and evolution of frontend architecture across multiple teams, ensuring consistency, performance, and scalability. Influence and define the frontend technology stack, with a focus on Angular, TypeScript, and modern web standards. Act as a technical consultant to stakeholders,...

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.