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AI / Machine Learning Engineer

AI / Machine Learning Engineer

TalentsisSingapore, Singapore, SG
30+ days ago
Job type
  • Quick Apply
Job description

Responsibilities :

  • Design, train, and fine-tune machine learning models for predictive analytics, natural language processing, computer vision, or other AI applications.
  • Deploy ML models in production environments and monitor their performance to ensure scalability and reliability.
  • Collect, clean, and preprocess large datasets to build high-quality AI / ML models.
  • Perform exploratory data analysis (EDA) to uncover insights and identify patterns for business solutions.
  • Research and implement state-of-the-art algorithms and techniques to improve model accuracy and efficiency.
  • Optimize model performance for real-time applications and large-scale data processing.
  • Collaborate with software developers and product teams to integrate AI / ML solutions into applications and services.
  • Design APIs and pipelines for seamless integration of AI models into existing systems.
  • Stay updated with the latest trends and advancements in AI / ML technology.
  • Experiment with emerging tools, frameworks, and methodologies to improve workflows and model performance.
  • Work closely with data scientists, engineers, and stakeholders to understand business requirements and deliver AI solutions that meet organizational goals.
  • Communicate technical concepts and insights effectively to non-technical stakeholders.

Skills and Qualifications :

  • Strong programming skills in Python, R, or Java.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Knowledge of big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
  • Proficiency in supervised and unsupervised learning techniques, deep learning, and reinforcement learning.
  • Familiarity with natural language processing (NLP) and computer vision technologies.
  • Strong mathematical foundation in linear algebra, statistics, and probability.
  • Ability to translate business problems into AI-driven solutions.
  • Excellent teamwork and project management skills.
  • Strong ability to present complex ideas and findings clearly and concisely.
  • Experience with MLOps tools and workflows for model deployment and lifecycle management.
  • Understanding of ethical AI principles and responsible AI practices.
  • EA Reg No : 20C0312)

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    AI/Machine Learning Engineer • Singapore, Singapore, SG