Applied Machine Learning Engineer

Hitachi, Ltd.; Kraków; On-site; PLN 210,000 - 300,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Fitness programs

Home office equipment allowance

Spectacles allowance

Company events

Psychological support

Free parking

Job summary

Hitachi Energy in Kraków is seeking an Applied Machine Learning Engineer to design, deploy and monitor scalable ML pipelines on enterprise-grade systems.

The role emphasizes experimental work for customer use cases, rapid troubleshooting, and collaboration across frontend and backend components, with a strong focus on documentation and stakeholder presentation.

Qualifications

• Degree in computer science, mathematics, or engineering; PhD is a strong asset.
• Strong Python and data science tooling knowledge (TensorFlow, PyTorch, Pandas, scikit-learn, NumPy).
• Experience with Docker, Kubernetes and cloud monitoring; ability to write clean code and tests.

Responsibilities

• Design, deploy and monitor ML pipelines on enterprise-grade systems.
• Implement ML models, data transformations and code for experiments.
• Develop and test CI/CD processes; containerize code.
• Collaborate with frontend/backend teams and contribute to requirements.
• Document work and present results to stakeholders.
• Support customers with demos and troubleshooting as needed.

Skills

Python

ML frameworks

Data analytics

SQL/ETL

CI/CD

Team collaboration

Education

CS/Math/Engineering degree

PhD preferred

Tools

Docker

Kubernetes

Azure DevOps

Power BI

Job description

The opportunity

We are looking for an Applied Machine Learning Engineer to help design, evolve and test machine learning based applications. This role focuses on building, deploying and monitoring accurate, scalable, secure and reliable machine learning pipelines that will run on enterprise grade systems. Moreover, the key aspect of the work is experimental work for specific customer use cases and development purposes. Customer centric focus is essential. Fast troubleshooting, usability and accuracy are major performance KPI's for this role. We are looking for the self-motivated team player who wants to learn about all product components and contribute to improvement in all areas.

How you'll make a difference

• Practical implementation of ML models, algorithms and data transformations
• Code development
• Ensuring the high quality of the code by application of best practices and dev tools
• Analyzing business requirements and translating them into technical designs (reading and writing technical documentation);
• Running data science experiments for specific use cases and general improvements
• Sales support (demos for customers)
• Existing clients support (troubleshooting, automation scripts development, example preparation)
• AI agents development and configuration
• Writing unit tests
• CI/CD development and testing processes automation
• Code containerization
• Deployment and monitoring of ML pipelines to cloud
• Contribute to frontend and backend requirements
• Code reviews
• Documentation of your work
• Presentation results for stakeholders

Your background

• Degree in computer science, mathematics, or engineering; a PhD is considered a strong asset
• Good skills in Data Analytics and transformations (SQL, ETL, scripting, Power BI)
• Ability to work effectively in a team and contribute to shared goals, with strong attention to detail, accuracy, and a genuine interest in technology, along with a willingness to share knowledge
• You bring a strong problem-solving mindset and the persistence needed to deliver and document high-quality technical solutions
• Very good knowledge of Python and data science frameworks (e.g., TensorFlow, Pytorch, Pandas, scikit-learn, Numpy)
• Hands-on skills in modern AI, including large language models (LLMs) and AI agents
• Some experience applying numerical methods, stochastic process modeling, Bayesian statistics, Monte Carlo analysis, probabilistic modeling, nonlinear dynamical systems modeling, and statistical filtering
• Experience with GIT, Azure DevOps
• Good knowledge of Docker, Kubernetes, and cloud monitoring

More About Us

At Hitachi Energy, we recognize that our people are at the heart of our success. We are committed to providing a supportive and inclusive workplace, competitive rewards, and opportunities for professional and personal growth. Our benefits package is designed to help employees thrive both at work and in their personal lives.

Our benefits offering for this role generally includes:

• Private medical care and life insurance
• Access to fitness and wellness programs
• Access to benefits platform with discounts and perks
• Employee Capital Plans (PPK)
• Equipment for working from home or allowances for setting up a workplace at home
• Spectacles and contact lenses allowance
• Company events and team-building activities
• Psychological support program
• Free parking available

Add if applicable: additional benefits may apply depending on the role, grade, and business requirements.

You will receive more specific information during the recruitment process.