AI/ML Engineer

Posted on March 17, 2025

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Job Description

  • * Conduct feature engineering, data analysis, and data exploration to extract valuable insights.
  • * Develop and optimize Machine Learning models to achieve high accuracy and performance.
  • * Design and implement Deep Learning models, including Artificial Neural Networks (ANN), Convolutional
  • Neural Networks (CNN), and Reinforcement Learning techniques.
  • * Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and
  • robustness.
  • * Deploy models in production environments and ensure continuous monitoring, improvement, and updates
  • based on feedback.
  • * Collaborate with cross-functional teams to align ML solutions with business goals.
  • * Utilize fundamental statistical knowledge and mathematical principles to ensure the reliability of models.
  • * Bring in the latest advancements in ML and AI to drive innovation.
  • Requirements:
  • * 4-5 years of hands-on experience in Machine Learning and Deep Learning.
  • * Strong expertise in feature engineering, data exploration, and data preprocessing.
  • * Experience with imbalanced datasets and techniques to improve model generalization.
  • * Proficiency in Python, TensorFlow, Scikit-learn, and other ML frameworks.
  • * Strong mathematical and statistical knowledge with problem-solving skills
  • * Ability to optimize models for high accuracy and performance in real-world scenarios.
  • Preferred Qualifications:
  • * Experience with Big Data technologies (Hadoop, Spark, etc.).
  • * Familiarity with containerization and orchestration tools (Docker, Kubernetes)

Required Skills

ai/ml docker kubernetes