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AI Developer

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Onsite

AI Developer

Tech Aalto Pte ltd

AI Developer

Skills

Google Cloud PlatformBig DataDeep LearningPythonData ScienceData VisualizationJavaNumPypandasKerasPyTorchTensorFlowRData AnalysisMachine LearningAIAWSNLP / Natural Language ProcessingHadoopAzure

1 month ago

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Important information


Location:

Singapore

Work mode:

Onsite

Published on:

19 September 2026

What they need


Tech Aalto Pte Ltd

Singapore

Experience :: 8-10 yrs

Responsibilities:

  • Design, develop, and implement AI models and algorithms to solve complex business problems.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Conduct research and stay up to date with the latest advancements in AI and machine learning.
  • Optimize and fine-tune AI models for performance, scalability, and accuracy.
  • Develop and maintain AI pipelines and workflows.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Deploy AI models into production environments and monitor their performance.
  • Provide technical guidance and mentorship to junior team members.

Required Skill Sets:

  • Educational Background: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field.
  • Programming Languages: Proficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc.
  • Machine Learning: Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning.
  • Data Science: Experience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn.
  • Big Data Technologies: Familiarity with big data processing frameworks like Hadoop, Spark, or Apache Flink.
  • Cloud Platforms: Experience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions.
  • Natural Language Processing (NLP): Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3.
  • Computer Vision: Experience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN.
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to think critically and creatively.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Team Collaboration: Ability to work effectively in a collaborative team environment and contribute to team success.

Preferred Qualifications:

  • Experience with AI ethics and responsible AI practices.
  • Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).
  • Familiarity with Agile methodologies and project management tools.

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