ML Engineer - Flexible Hours, Equity & Global Team

Automatic Systems, Inc.; Województwo świętokrzyskie; Hybrid; PLN 190,000 - 484,000; Full time

Benefits offered by this job

Flexible working hours

Premium healthcare & health insurance

Competitive salary & equity

Relocation package to Tricity area

High energy environment

Flexible time off

Office, equipment & tools + team meals

Job summary

Automatic Systems, Inc. is seeking a core ML/AI engineer to design and deploy production-grade systems that integrate machine learning models into scalable pipelines. You will develop features that leverage ML to solve real-world optimization and prediction problems, working with Kubernetes, AWS, and MLOps tooling.

The role emphasizes robustness, maintainability, and performance at scale, with a focus on data pipelines, transformer-based models, and high-quality ML engineering practices.

Qualifications

• Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience using LLMs in production environments — covering prompt engineering, fine-tuning, RAG systems, and LangChain.
• Strong understanding of data structures, algorithms, and software engineering best practices.
• Familiarity with classical ML, deep learning with emphasis on transformer architectures, and MLOps concepts.
• Experience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools.
• Commitment to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines.
• A bias for simplicity and clarity in solving complex problems.
• Intellectual curiosity and willingness to collaborate.
• Clear communication and collaboration across cross-functional teams.

Responsibilities

• Design and deploy production-grade systems that integrate ML models into scalable pipelines.
• Develop features leveraging ML to solve real-world optimization and prediction problems.

Skills

Python

TensorFlow

PyTorch

LangChain

LLMs in prod

Data structures

Algorithms

Transformers

MLOps

Apache Beam

MLflow

Tools

Kubernetes

AWS

ML tooling

Job description

Automatic Systems, Inc. is seeking a core ML/AI engineer to design and deploy production-grade systems that integrate machine learning models into scalable pipelines. You will develop features that leverage ML to solve real-world optimization and prediction problems, working with Kubernetes, AWS, and MLOps tooling.

The role emphasizes robustness, maintainability, and performance at scale, with a focus on data pipelines, transformer-based models, and high-quality ML engineering practices.