Machine Learning Engineer

Air space Intelligence, Inc.; Województwo świętokrzyskie; Híbrido; PLN 190.000 - 484.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

TensorFlow

PyTorch

LangChain

LLMs in prod

Data structures

Algorithms

Transformers

MLOps

Apache Beam

MLflow

Herramientas

Kubernetes

AWS

ML tooling

Descripción del empleo

Compensation

PLN17K – PLN43.3K per month

About

ASI is the frontier AI company that dynamically orchestrates critical infrastructure and defense assets, across air traffic control, energy, logistics, and combat operations. ASI's systems simulate physical operations, hours, days, and weeks ahead, so the people running air traffic control, the electric grid, and military operations can catch problems early and act before they spread. ASI is powering vital infrastructure for customers like United Airlines, National Grid, the Federal Aviation Administration, Delta Air Lines and the Department of War. ASI is headquartered in Boston with offices in Washington, DC, Denver, and Europe, and is backed by leading investors, including Andreessen Horowitz, Citadel Securities, and Spark Capital.

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.