Signify Technology
Machine Learning Engineer
Signify TechnologyPoland9 hours ago
ContractRemote FriendlyEngineering

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


About the Role:

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.


Key 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

Key Skills

Ranked by relevance