Machine Learning Engineer

Há 5 dias


Lisboa, Lisboa, Portugal DXC Technology Inc. Tempo inteiro

About Our Team:

We are a dynamic team of experts in machine learning and data science, passionate about driving innovation and delivering exceptional results for our clients.

About the Role:

  • This role involves leading Machine Learning projects from design to production, ensuring that applications are scalable and efficient.
  • You will work closely with data scientists to transform offline models into real-time production systems.
  • Beyond just coding, you will be responsible for designing machine learning solution architectures, building scalable tools and services, and applying software engineering best practices.
  • A strong understanding of machine learning algorithms and data science concepts is required, including knowledge of Spark for big data processing and familiarity with frameworks like TensorFlow and PyTorch.

Key Responsibilities:

  • Lead Machine Learning projects from design to production
  • Design and develop architectures, proof-of-concepts, and demos in support of presales activities
  • Transform ML models developed by data scientists into real production systems
  • Build scalable tools and services for managing ML model training and inference
  • Apply software engineering best practices, including continuous integration (CI/CD), automation, and auditing

Requirements:

  • Bachelor's or Master's degree in computer science or equivalent qualification
  • Hands-on experience in delivering and leading Data Science and machine learning projects
  • Experience with DevOps, CI/CD, and MLOps automation
  • Knowledge of cloud architecting and machine learning technologies – Azure, AWS, and GCP

Our Benefits:

  • Numerous opportunities for personal and professional development
  • Modern and friendly work environment
  • Professional technical and soft skill training programs
  • Competitive compensation package adjusted to candidate's experience and qualifications
  • Flexibility in work arrangement

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