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AI/ML Engineer

Qode is a technology company specializing in artificial intelligence and machine learning solutions.
Machine Learning
Mid-Level Software Engineer
Remote
3+ years of experience
AI

Job Description

Qode is seeking a Machine Learning Engineer to join their team in developing cutting-edge AI solutions. This role focuses on designing and implementing machine learning models and algorithms using modern frameworks like PyTorch and TensorFlow. The position requires a strong background in Python programming and statistical modeling, with opportunities to work on complex datasets and build scalable ML pipelines. The ideal candidate will have 3+ years of experience in ML/AI development and will collaborate with cross-functional teams to integrate models into production systems. This remote position offers the chance to work on impactful AI tools while staying at the forefront of machine learning technology. The role combines technical expertise with practical application, requiring both strong analytical skills and the ability to work effectively in a fast-paced team environment.

Last updated 17 days ago

Responsibilities For AI/ML Engineer

  • Design, develop, and optimize machine learning models and algorithms
  • Implement and fine-tune deep learning models using frameworks like PyTorch and TensorFlow
  • Analyze large, complex datasets to extract insights and identify patterns
  • Develop scalable machine learning pipelines for training, validation, and deployment
  • Collaborate with cross-functional teams to integrate ML models into production systems
  • Stay up-to-date with the latest advancements in machine learning, deep learning, and AI technologies
  • Document processes and model performance to ensure reproducibility and compliance

Requirements For AI/ML Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
  • 3+ years of experience in machine learning, deep learning, or AI tool development
  • Proficiency in Python and experience with frameworks such as PyTorch and Tensorflow
  • Solid understanding of statistical modeling, probability, and optimization techniques
  • Experience with data preprocessing, feature engineering, and handling large datasets
  • Strong problem-solving skills and attention to detail
  • Excellent communication and teamwork abilities
  • Ability to work in a fast-paced, dynamic environment and manage multiple priorities

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