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Machine Learning Engineer
  • Wrocław
Machine Learning Engineer
Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
Signify Technology
14. 5. 2025
Informacje o stanowisku

Machine Learning Engineer (B2B Contract, 24-Month, Extendable)

Location: Hybrid - Wroclaw, Poland

Contract: B2B (24-Month Initial, Extendable)

Department: Product

Reports To: Team Lead AI

Position Purpose/Mission: We’re looking for a talented Machine Learning Engineer to join our team in Wroclaw. This position will involve designing, developing, and deploying scalable machine learning models, with a strong focus on cloud-based systems and production environments. You will work closely with cross-functional teams to integrate ML solutions efficiently and ensure optimal model performance.

Key Responsibilities:

  • Design and implement scalable ML models.
  • Contribute to in-house code libraries while following software development best practices.
  • Deploy and monitor ML models in cloud environments (Azure).
  • Collaborate with various teams to integrate ML models into production products.
  • Optimize ML pipelines for performance, scalability, and cost-effectiveness.
  • Maintain and enhance CI/CD pipelines for ML model deployment.
  • Test, validate, and monitor ML models in production to ensure reliability.

Job Requirements:

  • Proven experience in developing and deploying ML (and deep learning) models.
  • Proficient in Python; knowledge of SQL and PySpark is a plus.
  • Hands-on experience with MLOps, CI/CD pipelines, model deployment, and monitoring.
  • Familiarity with ML frameworks such as PyTorch, Keras, Scikit-learn, and Pandas.
  • Strong analytical skills and problem-solving capabilities.
  • Independent and team-oriented work approach.
  • Proficient communication skills in English.

Preferred Qualifications:

  • Expertise in Large Language Models (LLMs), quantization, distillation, transfer learning.
  • Experience with Azure Services, including Datalake, Datahouse, and Databricks.
  • Familiarity with REST APIs, Docker, and Kubernetes.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Staffing and Recruiting and Software Development

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