Machine Learning Engineer

Signify Technology; Poland; Remote; PLN 240,000 - 320,000; Full time

Job summary

A leading tech firm in Poland is seeking a Machine Learning Engineer for a fully remote long-term B2B contract. The ideal candidate will design and deploy machine learning models and maintain scalable ML pipelines. Proficiency in Python, deep learning frameworks, and MLOps practices is essential. This role offers an exciting opportunity to impact business transformation through applied machine learning.

Qualifications

• Proven experience developing and deploying ML and deep learning models.
• Strong communicator, capable of working independently and collaboratively.
• Fluent in English (spoken and written).

Responsibilities

• Design, develop, and deploy machine learning and deep learning models.
• Build and maintain scalable ML pipelines including CI/CD workflows.
• Monitor model performance in production and implement retraining strategies.

Skills

Python programming

MLOps practices

Deep learning frameworks (PyTorch, Keras)

Analytical skills

Communication skills

SQL

PySpark

Tools

Docker

Kubernetes

Azure Datalake

RESTful APIs

Job description

Machine Learning Engineer | €300 Per Day | Fully Remote Long Term B2B Contract

Overview

We’re looking for a talented and proactive Machine Learning Engineer to join our growing data science and engineering team. This is a fantastic opportunity for someone passionate about applied machine learning, MLOps, and cutting-edge model deployment practices. You'll work on impactful projects that leverage deep learning and AI to drive business transformation.

Responsibilities

• Design, develop, and deploy machine learning and deep learning models.
• Build and maintain scalable ML pipelines, including CI/CD workflows.
• Monitor model performance in production and implement retraining strategies.
• Collaborate with cross-functional teams including data engineering and product.
• Solve complex problems using a hands-on, analytical approach.

Required Skills & Experience

• Proven experience developing and deploying ML and deep learning models.
• Strong Python programming skills; familiarity with SQL and PySpark is a plus.
• Hands-on experience with MLOps practices, model deployment, and monitoring tools.
• Proficient with libraries such as PyTorch (or Keras), Scikit-learn, and Pandas.
• Excellent analytical and problem-solving skills.
• Strong communicator, capable of working both independently and collaboratively.
• Fluent in English (spoken and written).

Preferred Qualifications

• Knowledge of Large Language Models (LLMs), efficient ML (quantization, distillation), transfer learning, and fine-tuning.
• Experience with Microsoft Azure, particularly Azure Datalake, Datahouse, and Azure Databricks.
• Familiarity with RESTful APIs.
• Experience working with Docker and Kubernetes environments.

Please apply as interview stages are commencing immediately.

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