Applied Machine Learning Engineer

Hitachi Energy; Kraków; On-site; PLN 45,000 - 65,000; Full time

Benefits offered by this job

Competitive benefits for financial wellbeing

Support for physical and mental wellbeing

Job summary

Hitachi Energy in Poland is looking for an Applied Machine Learning Engineer. This role involves designing, evolving, and testing machine learning applications, focusing on building scalable, reliable ML pipelines.

Key responsibilities include implementing machine learning models, collaborating within a team, and providing sales support. Ideal candidates will have a degree in a related field, strong Python skills, and experience with data analytics and modern AI technologies.

Qualifications

• 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.

Responsibilities

• Practical implementation of ML models and algorithms.
• Code development and ensuring code quality.
• Running data science experiments for specific use cases.

Skills

Data Analytics

Python

TensorFlow

Docker

Kubernetes

GIT

SQL

ETL

Education

Degree in computer science, mathematics, or engineering

PhD (considered a strong asset)

Tools

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. 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 KPIs 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 (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

We pride ourselves on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development. We want you to truly thrive with us, in work and out.

We can provide more information during the recruitment process.

Publication date: 2026-06-15