Senior Machine Learning Engineer

3 days ago

Cairo, Cairo, Egypt Brightskies Full time

Purpose of the Job:

To contribute to the development of cutting-edge AI solutions for applications in the automotive industry and be responsible for analyzing complex datasets, identifying meaningful patterns, and building predictive models. This role requires a strong proficiency artificial intelligence and machine learning, along with a commitment to staying current with advancements in the field.

Responsibilities and Duties:

  • Conduct research and experimental studies to design and improve algorithms and machine learning models.
  • Combine mathematical modeling with data-driven methods to simulate and analyze thermodynamic systems.
  • Quickly grasp complex physical and thermodynamic systems and translate them into modeling tasks.
  • Research and implement state-of-the-art Reinforcement Learning algorithms.
  • Develop data preprocessing and cleaning pipelines as needed.
  • Identify and evaluate opportunities to automate internal workflows and improve efficiency.
  • Collaborate with cross-functional engineering teams to define technical requirements.
  • Continuously validate and monitor model performance throughout the entire lifecycle.
  • Perform statistical analysis on large and complex datasets.
  • Contribute to technical documentation, user guides, status updates, and presentations to effectively share results, best practices, and technical findings to external and internal stakeholders.
  • Collaborate in internal review loops to monitor and steer project output.

Education:

Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline; a master's degree (MSc) is a plus.

Experience:

  • Minimum of 3 years of experience in developing machine learning algorithms.
  • Hands-on experience with Reinforcement Learning.
  • Experience in reinforcement learning and machine learning research is a plus.
  • Experience mentoring or leading teams is a valuable asset.

Skills and Abilities:

  • Proficient in Python, with experience using ML frameworks such as PyTorch and TensorFlow.
  • Solid understanding of software design principles, programming techniques, algorithms, and object-oriented programming (OOP).
  • Strong analytical and problem-solving skills.
  • Familiarity with a broad range of machine learning algorithms is a strong advantage
  • Comfortable working within agile development processes and CI/CD pipelines.
  • Demonstrated ability to communicate effectively, both written and verbal, in English.
  • Proven ability to work in a collaborative, cross-functional team environment

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