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Data-Driven Machine Learning Expert

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AI/ML Engineer Role Overview:

The successful candidate will be responsible for designing, building, and maintaining large-scale machine learning systems.

Key Responsibilities:

  • Prepare, clean, and process large datasets; build and maintain data pipelines.
  • Develop and implement machine learning models for various applications (classification, regression, clustering, recommendations, etc.).
  • Engineer features and optimize model performance through hyper parameter tuning and validation.
  • Automate model building, training and deployment by building CI/CD/CT Pipelines
  • Stay updated on new tools and techniques in machine learning and AI.

Requirements and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
  • 3-5 years of hands-on experience in AI/ML engineering and Python, with a demonstrable focus on building production ready models.
  • Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques.
  • Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform.
  • Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management.
  • Experience with containerization technologies like Docker and Kubernetes.

Why This Role is Important:

This role is crucial in driving business growth through the development and implementation of cutting-edge AI/ML solutions.