Machine Learning Engineer

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

About ASI

ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority-compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what’s possible.

What you will do:

As part of our core engineering team, you will design and deploy production-grade systems that integrate machine learning models into scalable software pipelines. You'll develop and ship features that leverage ML to solve real-world optimization and prediction problems, working with modern infrastructure like Kubernetes, AWS, and MLOps tooling. You'll approach problems with a software engineer's mindset - prioritizing robustness, maintainability, and performance at scale.

What we value:

• 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 frameworks like 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.

What we offer:

• Flexible Working Hours: With a global team supporting mission-critical operations, we have to be at our best, so we've adopted flexible hours to allow for balance.


• Premium Healthcare and Health Insurance: Health and wellness are critical to living a happy and resilient life. We provide first-class medical, dental and vision coverage to you and your dependents.


• Competitive Salary & Equity: Our team is our biggest asset. We value the hard work that each person commits to us, so we provide competitive, transparent compensation packages.


• Generous relocation package to assure smooth relocation to Tricity area.


• High Energy Environment: We live by the mantra that now is better than never. You will find yourself surrounded by peers who constantly challenge the status quo.


• Flexible Time Off: We encourage you to take time off as you need it. While our team is hard-working, our success is measured by output—not time spent.


• Office, Equipment & Tools: We bring the best tools to the mission, from ergonomic desk setups to modern productivity software. We have a freshly prepared team breakfast and lunch every day.

How do we hire:

We look at the interview process not as screening test but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.