Senior Machine Learning Engineer

New
Australia, Canada, France, Germany, India, Netherlands, United Kingdom, United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Languages
German (C1/C2) and English (at least B2)
Experience
Mehr als 4 Jahre
Required Skills
PythonCloud ComputingKerasKubernetesMachine LearningPyTorchTensorflowDevOpsRMLOps

Requirements

  • More than 4 years of experience in developing ML-based applications, training ML models, and deploying models to production.
  • Experience in deployment and optimization of ML workloads in virtualized or containerized environments.
  • Good knowledge of DevOps/MLOps tools and cloud computing (e.g., Kubernetes, vSphere, Hyperscaler).
  • Solid knowledge of computer science, mathematics, or a related field.
  • Proficiency in Python or R.
  • Experience with common ML frameworks and libraries (e.g., TensorFlow, Keras, PyTorch).
  • Solid understanding of data structures, algorithms, and computer science fundamentals.
  • Strong problem-solving skills and the ability to work independently.
  • Excellent communication and teamwork skills.
  • Native-level proficiency in German (C1/C2).
  • Fluent English skills (at least B2).

Responsibilities

  • Design and build Machine Learning Operations (MLOps) platforms.
  • Develop and deploy innovative Machine Learning services based on existing models.
  • Create solutions for diverse industries and challenging use cases.
  • Process large volumes of data.
  • Architect and implement agent-based AI systems.
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