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Data Engineer for AI and Machine Learning

2 tygodni temu

Warszawa, Polska Experis Manpower Group Pełny etat

**Overview**

Experis Manpower Group is a leading global workforce solutions company, delivering talent-enabled business solutions for the most ambitious companies. As a Data Engineer for AI and Machine Learning, you will play a vital role in shaping the future of data-driven decision-making.

**Job Description**

We are seeking an experienced Data Engineer to join our team. In this role, you will be responsible for designing and implementing robust data pipelines to support AI and machine learning models. This will involve integrating data from various sources, ensuring data quality and consistency for AI applications. You will also develop and maintain scalable data processing systems to handle large volumes of data.

**Key Responsibilities**

  • Design and implement efficient data pipelines to support AI and machine learning models
  • Ensure data quality and consistency for AI applications by integrating data from various sources
  • Develop and maintain scalable data processing systems to handle large volumes of data
  • Collaborate with data scientists to deploy and optimize AI models in production environments
  • Create and manage scripts to automate data workflows and model training processes
  • Work with cross-functional teams to understand data requirements and deliver AI solutions
  • Maintain comprehensive documentation of data processes, pipelines, and AI model deployments

**Required Skills and Qualifications**

To succeed in this role, you will need:

  • Experience in data engineering, with a focus on AI and machine learning
  • Proficiency in data engineering tools and technologies (e.g., SQL, Python, ETL tools)
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
  • Knowledge of big data technologies (e.g., Hadoop, Spark) and AI frameworks (e.g., TensorFlow, PyTorch)
  • Understanding of machine learning algorithms and model deployment

**Benefits**

  • 100% remote work arrangement
  • MultiSport Plus membership
  • Group insurance
  • Medicover Premium coverage
  • e-learning platform access