Machine learning software engineer állás, munka

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,...

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...

• Analysis of business needs and proposal of high value-added solutions
• Establish technical specifications and division of technical tasks
• Software development within the team based on skills/affinities
• Managing integrations, gathering business feedback, and making the necessary adjustments

Deliver technical contributions on early-career tasks with growing autonomy Own smaller user stories independently; partner with senior engineers on more complex projects Demonstrate curiosity and a growth mindset, especially around AI: experiment with AI-assisted techniques to learn new...

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, code, review, and test assigned features and user stories in alignment with Diligent’s agile development methodology, leveraging AI tools where appropriate to enhance development efficiency. Produce high-level technical design artifacts for major stories, incorporating insights and...

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...

• Design, develop, and maintain high-quality software across the full stack for our core instrument software.
• Play a key role in building and evolving robust back-end controllers using C#/.NET that interface with instrument hardware and handle data processing.

Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and algorithms. Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets. Develop and support semantic...

• 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 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.

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

Lead a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud. Provide mentoring and technical support to junior and medium teammates. Act as a trusted advisor to clients. Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI...

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

Develop and implement LLM based agentic solutions for processing large document sets. Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and the solutions. Develop and support semantic search, structured retrieval,...