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AI/ML Engineer

Machine Learning
Mid-Level Software Engineer
In-Person
AI

Job Description

Talentsis is seeking an AI/ML Engineer to join their team in Singapore. This is a full-time, on-site position focused on developing and implementing machine learning solutions. The role combines hands-on ML development with cross-functional collaboration, requiring expertise in Python, ML frameworks like TensorFlow/PyTorch, and cloud platforms. The ideal candidate will have strong foundations in computer science, statistics, and data analysis, with proven experience in building ML models. This position offers the opportunity to work on complex problems, implement cutting-edge AI solutions, and contribute to the company's technical advancement. The role demands both technical excellence and strong communication skills, making it perfect for engineers passionate about AI/ML who want to make an impact in a collaborative environment. The position offers stability as a permanent role and the chance to work in Singapore's vibrant tech ecosystem.

Last updated 4 months ago

Responsibilities For AI/ML Engineer

  • Design, develop, and implement machine learning models and algorithms to solve complex problems
  • Analyze and preprocess large datasets to extract relevant features and insights
  • Collaborate with cross-functional teams to integrate AI/ML solutions into existing applications
  • Conduct experiments and validate model performance using appropriate metrics
  • Stay updated with the latest advancements in AI and ML technologies and frameworks
  • Document methodology, processes, and results for internal and external stakeholders

Requirements For AI/ML Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
  • Proven experience in developing machine learning models and algorithms
  • Proficient in programming languages such as Python or R, along with ML libraries like TensorFlow or PyTorch
  • Strong foundation in statistics, data analysis, and data visualization
  • Experience with data manipulation and analysis tools (e.g., Pandas, NumPy)
  • Familiarity with cloud-based platforms (AWS, GCP, or Azure) for ML deployment
  • Strong problem-solving and analytical skills
  • Excellent communication skills and ability to work in a collaborative environment

Benefits For AI/ML Engineer

  • Permanent role

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