
Applied Machine Learning Engineer
Job Description
Location:
Krakow, Lesser Poland, PolandJob ID:
R0133055Date Posted:
2026-06-15Company Name:
HITACHI ENERGY SERVICES SP. Z O.O.Profession (Job Category):
Engineering & ScienceJob Schedule:
Full timeRemote:
NoJob 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
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.