R&D AI/ML & Generative AI Software Engineer

Hitachi, Ltd.

Kraków

On-site

PLN 180,000 - 240,000

Full time

8 days ago
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Benefits offered by this job

Private medical care
Life insurance
Fitness and wellness programs
Home office equipment
Company events

Job summary

Hitachi Energy HVDC Research and Development seeks a software developer with expertise in Applied AI/ML and Generative AI. You will join a global team to create digital technologies for HVDC solutions, blending theory with practice to validate new technologies for the energy transition.

The role involves designing, deploying, and maintaining AI-enabled software, and collaborating across regions to solve real-world challenges while sharing knowledge with the team.

Qualifications

  • Master's degree in a related field (CS/SE/EE) or equivalent experience.
  • Programming experience in C# and Python with modern libraries.
  • Experience across the software development lifecycle (design, implementation, testing, CI/CD).
  • Experience with structured/unstructured databases (SQL/NoSQL).

Responsibilities

  • Design, develop, and maintain AI/ML software for training, deployment, and lifecycle management of solutions.
  • Propose ideas and prototypes for optimization or control problems with business impact.
  • Develop AI copilots and workflows to support engineers with measurable value.
  • Apply modern software engineering practices across the full lifecycle.

Skills

C# programming
Python programming
AI/ML basics
CI/CD
English communication

Education

Master's degree

Tools

Azure OpenAI
Azure AI Services

Job description

Hitachi Energy HVDC Research and Development seeks a software developer with expertise in Applied AI/ML and Generative AI. You will join a global team to create digital technologies for HVDC solutions, blending theory with practice to validate new technologies for the energy transition.

The role involves designing, deploying, and maintaining AI-enabled software, and collaborating across regions to solve real-world challenges while sharing knowledge with the team.

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