Applied ML Engineer: Build & Deploy Scalable Pipelines

Hitachi Automotive Systems Americas, Inc.; Kraków; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Fitness programs

Benefits platform

Employee Capital Plans (PPK)

Home office equipment allowance

Spectacles/eye care allowance

Company events

Psychological support program

Free parking

Job summary

Hitachi Energy Services SP. Z O.O. is seeking an Applied Machine Learning Engineer to design, deploy, and monitor ML pipelines on enterprise systems in Krakow.

The role emphasizes experimental work for customer use cases, fast troubleshooting, and measurable performance targets. The ideal candidate has a degree in CS/math/engineering (PhD assets welcomed), strong Python and ML framework expertise, and hands-on experience with Docker, Kubernetes, and cloud monitoring.

Qualifications

• Degree in computer science, mathematics, or engineering; a PhD is considered a strong asset.
• Strong data analytics and transformations skills (SQL, ETL, scripting, Power BI).
• Ability to work effectively in a team and contribute to shared goals, with strong attention to detail and a willingness to share knowledge.
• 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 processes, 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.

Responsibilities

• Practical implementation of ML models, algorithms and data transformations.
• Code development with high quality and best practices.
• Running data science experiments for specific use cases and general improvements.
• CI/CD development and testing processes automation.
• Deployment and monitoring of ML pipelines to cloud.
• Code reviews and documentation of your work.
• Preparation of demos for customers and support for existing clients.

Skills

Python

Data Analytics

Team collaboration

Problem solving

GIT

Azure DevOps

TensorFlow

PyTorch

Pandas

scikit-learn

Numpy

Docker

Kubernetes

Cloud monitoring

Education

Degree in CS/Math/Engineering

Tools

TensorFlow

PyTorch

Pandas

scikit-learn

Numpy

Docker

Kubernetes

Cloud monitoring

Job description

Hitachi Energy Services SP. Z O.O. is seeking an Applied Machine Learning Engineer to design, deploy, and monitor ML pipelines on enterprise systems in Krakow.

The role emphasizes experimental work for customer use cases, fast troubleshooting, and measurable performance targets. The ideal candidate has a degree in CS/math/engineering (PhD assets welcomed), strong Python and ML framework expertise, and hands-on experience with Docker, Kubernetes, and cloud monitoring.