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AI/ML Engineer

Today 2024/12/22
Full Time Employee
1-9 Employees · Human Resources Outsourcing

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Job Description

Key Responsibilities:

  • Design, develop, and implement AI/ML models and algorithms to address complex data analytics challenges.
  • Collaborate closely with data scientists and analysts to understand business requirements and translate them into technical solutions.
  • Apply advanced machine learning techniques such as deep learning, natural language processing (NLP), and computer vision.
  • Evaluate model performance, identify areas for improvement, and refine models to achieve optimal performance.
  • Develop and maintain scalable machine learning pipelines and infrastructure.
  • Stay updated with the latest advancements in AI/ML and implement relevant innovations into projects.


Skills

Technical Skills:

  • Strong foundation in machine learning algorithms and techniques (e.g., regression, classification, clustering, neural networks).
  • Expertise in generative AI (GenAI) applications.
  • Proficiency in programming languages like Python or R.
  • Hands-on experience with popular machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn.
  • Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
  • Experience with cloud platforms like AWS, GCP, or Azure (advantageous).


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