ML Engineer - Production Systems & LLMs

ASI; Województwo pomorskie; On-site; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Flexible Working Hours

Premium Healthcare & Insurance

Competitive Salary & Equity

Relocation package to Tricity area

High-energy environment

Flexible time off

Office equipment & meals

Job summary

ASI is advancing decision-critical technology powering aviation, defense, energy, and essential infrastructure. As part of our core engineering team, you will design and deploy production-grade systems that weave machine learning models into scalable software pipelines, delivering robust, scalable solutions at speed.

You will work with modern infrastructure like Kubernetes and AWS, applying best practices in MLOps, data versioning, and model governance to push the boundaries of what’s possible

Qualifications

• Proficiency in Python and production ML tooling (TensorFlow, PyTorch, scikit-learn).
• Experience deploying LLMs in production, including prompt engineering and RAG with LangChain.
• Strong data structures, algorithms and software engineering practices.
• Familiarity with transformers, ML pipelines and MLOps concepts.
• Experience building scalable ML systems with data pipelines (Apache Beam, MLflow).
• Commitment to data versioning, experiment tracking and model governance.

Responsibilities

• Design and deploy production-grade systems that integrate ML models into scalable pipelines.
• Develop features leveraging ML to solve optimization and prediction problems.
• Work with Kubernetes, AWS and modern MLOps tooling to ensure robustness at scale.
• Collaborate with cross-functional teams to deliver reliable ML solutions.
• Maintain and improve data pipelines and monitoring for production models.

Skills

Python

ML tooling

LLMs in prod

Data structures

Algorithms

Software engineering

Kubernetes

AWS

MLOps

Prompt engineering

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

Apache Beam

MLflow

Job description

ASI is advancing decision-critical technology powering aviation, defense, energy, and essential infrastructure. As part of our core engineering team, you will design and deploy production-grade systems that weave machine learning models into scalable software pipelines, delivering robust, scalable solutions at speed.

You will work with modern infrastructure like Kubernetes and AWS, applying best practices in MLOps, data versioning, and model governance to push the boundaries of what’s possible