Software Engineer

1 week ago

Singapore Michael Page Full time

Software Engineer (AI/ML) - Energy industry As an AI/ML Software Engineer in the Energy & Natural Resources industry, you will design, develop, and implement innovative AI and machine learning solutions. This role is focused on advancing technology and supporting key business objectives in the industry. This is a well-established company in the Energy & Natural Resources sector, known for its commitment to innovation and sustainability. It operates at scale, delivering impactful solutions and services to meet global energy needs. Description Design and develop AI/ML models to address specific business challenges in the Energy & Natural Resources sector. Collaborate with cross-functional teams to integrate machine learning solutions into existing systems. Optimise algorithms and models for performance and scalability. Monitor and maintain deployed AI/ML solutions to ensure optimal performance. Conduct data analysis and pre-processing to prepare datasets for machine learning applications. Research and stay updated on the latest advancements in AI and machine learning technologies. Document processes, models, and project outcomes effectively. Provide technical support and guidance to internal teams and stakeholders. Profile A successful AI/ML Software Engineer should have: A strong educational background in computer science, artificial intelligence, or a related field. Proficiency in programming languages such as Python, R, or Java. Has experience with cloud platforms and deployment processes in Azure mainly. Experience with machine learning frameworks and tools like TensorFlow, PyTorch, or Scikit-learn. Job Offer Competitive annual salary including performance-based bonus Permanent position offering job stability and growth opportunities. Be part of a forward-thinking company in the Energy & Natural Resources sector. If you are passionate about leveraging AI/ML in the Energy & Natural Resources industry, we encourage you to apply for this exciting opportunity. #J-18808-Ljbffr

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