Aws Empregos à distância e ao domicílio em EMEA

Hybrid Machine Learning Engineer

Confidential · EMEA · United States Of America · Hybrid

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About the job

We are seeking a talented Machine Learning Engineer to join our innovative team. In this remote role, you will play a crucial role in developing and deploying cutting-edge machine learning models to solve complex business problems. You will work closely with data scientists, software engineers, and product managers to bring innovative solutions to market.

Key Responsibilities:
  • Design, develop, and deploy machine learning models to solve real-world problems.
  • Collaborate with data scientists to explore and understand large datasets.
  • Implement and optimize machine learning algorithms and pipelines.
  • Experiment with different machine learning techniques and frameworks.
  • Work with software engineers to integrate machine learning models into production systems.
  • Monitor and maintain machine learning models in production.
  • Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

Qualifications and Experience:
  • Master's degree or PhD in Computer Science, Statistics, or a related field.
  • Strong programming skills in Python and experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and their machine learning services.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Experience with deploying machine learning models to production.

What We Offer:
  • Competitive compensation package.
  • Flexible remote work arrangements.
  • Opportunities for professional development and career growth.
  • A collaborative and innovative work environment.

If you are a passionate and skilled machine learning engineer, we encourage you to apply.