Hiring.Camp

Applied Machine Learning Engineer

HiNext

·

Jun 15, 2026

Location
(HE)Office_KRK Pawia, Poland
Workplace
Hybrid
Type
Full-time
Department
Engineering
Education
PhD
Closing date
Today
Source
Workday

Description

Location:

Krakow, Lesser Poland, Poland

Job ID:

R0133055

Date Posted:

2026-06-15

Company Name:

HITACHI ENERGY SERVICES SP. Z O.O.

Profession (Job Category):

Engineering & Science

Job Schedule: 

Full time

Remote:

No

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

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. 

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.

This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response. 

Skills

PythonAzureDockerKubernetesCI/CDSQLMachine LearningTensorFlowPyTorchPandasNumPyScikit-learnData ScienceETLGitPower BIDevOps

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