Machine Learning Engineer

4 weeks ago


Singapore EIGEN ENERGY PTE. LTD. Full time
Roles & Responsibilities

Eigen Energy is a pioneering, clean energy company committed to revolutionizing the renewable energy landscape. We are dedicated to harnessing cutting-edge technology and innovation to drive sustainable solutions for a greener future. As we continue to expand our team, we are seeking a talented and passionate Machine Learning Engineer. In this role, you will work closely with the applications and infrastructure team and be responsible for productionalizing machine learning models:

The candidate will be responsible for automation engineering/development such as:

  • Ability to design, develop and implement machine learning algorithms
  • Ability to discover, design, and develop analytical methods to support approaches on data and information processing.
  • Clean, preprocess and analyse large datasets to extract meaningful features for model training
  • Translate requirements into practical and effective solutions using AI, machine learning, and deployment technologies.
  • Optimize machine learning algorithms for performance and scalability.
  • Collaborate with cross-functional teams to integrate and develop code from various sources.
  • Stay up to date with the latest advancements in AI, machine learning, and cybersecurity to ensure the use of state-of-the-art techniques.
  • Conduct thorough testing and debugging to ensure the quality, security, and reliability of developed solutions.
  • Optimize code performance to enhance efficiency and scalability while maintaining the highest cybersecurity standards.
  • Document code and processes for future reference and knowledge sharing.

Requirements:

  • Strong proficiency in front-end and back-end coding languages, such as Python, Java, JavaScript, or C++.
  • Solid understanding of AI and machine learning principles and algorithms.
  • Familiarity with cybersecurity concepts, protocols, and best practices.
  • Experience with frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with cloud platforms (e.g., Google cloud, AWS, Azure, GCP) and their AI/ML services.
  • Ability to work collaboratively in a team environment, as well as independently.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and interpersonal skills.

Tell employers what skills you have

TensorFlow
Machine Learning
Scalability
Azure
Interpersonal Skills
JavaScript
Reliability
PyTorch
Attention to Detail
Python
Google Cloud
Statistics
Data Science
Java
Renewable Energy
Debugging

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