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Machine Learning Engineer

7,000 SGD · period not specifiedSingapore, SGScore 65/1001w ago
Market insights
📊 AI / ML / Data Science: salaries and demand on the market
Stack
TensorFlowMachine LearningBusiness OptimizationAI AgentsData OrchestrationData SolutionsArtificial IntelligenceProblem IdentificationAI EvaluationAI ModelsPyTorchLLMs
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Description
We are seeking a skilled machine Learning engineer to join one of our agile development teams in our ML & AI field. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. Responsibilities Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges. Create multi-agent systems and equip AI models with function/tool-calling capabilities Design and implement RAG systems to ground AI responses in enterprise data Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability Optimize agentic workflows and AI agents for production use cases Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex challenges Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeh
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