AI and ML Solutions Developer

1 day ago

Singapore beBeeMachineLearning Full time

Artificial Intelligence and Machine Learning Engineer ">

We are seeking a highly skilled and experienced engineer to join our innovative team. The successful candidate will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that drive services forward.

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This role requires a strong understanding of machine learning principles, proficiency in relevant programming languages and frameworks, and the ability to work collaboratively in a fast-paced environment.

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Key Responsibilities:

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  • Design, develop, and deploy machine learning models and algorithms. ">
  • Work with large datasets to extract insights and build robust data pipelines. ">
  • Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services. ">
  • Optimize and fine-tune machine learning models for performance and scalability. ">
  • Conduct research and stay up-to-date with the latest advancements in AI/ML. ">
  • Participate in code reviews and contribute to maintaining high code quality. ">
  • Troubleshoot and debug AI/ML systems and applications. ">
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Qualifications:

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Required Skills:

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  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. ">
  • 3+ years of experience in AI/ML engineering or a similar role. ">
  • Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). ">
  • Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning. ">
  • Experience with data preprocessing, feature engineering, and model evaluation. ">
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices. ">
  • Excellent problem-solving skills and attention to detail. ">
  • Strong communication and teamwork abilities. ">
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Preferred Skills:

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  • Experience with distributed computing frameworks (e.g., Spark, Hadoop). ">
  • Knowledge of deep learning architectures and techniques. ">
  • Experience with containerization technologies (e.g., Docker, Kubernetes). ">
  • Contributions to open-source AI/ML projects. ">

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