Seasoned Machine Learning Professional

1 week ago

Cork, Cork, Ireland beBeeMachine Full time €69,000 - €115,000

Our company is looking for a seasoned machine learning professional to join our team in developing and implementing advanced AI solutions. The ideal candidate will have extensive experience in designing, building, and deploying large-scale machine learning models using various frameworks such as scikit-learn, PyTorch, and TensorFlow.

Key Responsibilities:

  • Design, develop, and deploy large-scale machine learning models using Python, Rust, and C++
  • Collaborate with data science teams to design and implement ML pipelines that drive business outcomes
  • Work with cross-functional teams to integrate ML models into production environments
  • Develop and maintain high-quality, performant, and resilient code
  • Stay up-to-date with industry trends and advancements in machine learning and AI

Requirements:

  • 7+ years of industry experience
  • 4+ years of programming experience with Python, Rust, and C++
  • 3+ years of experience designing and building data-intensive solutions with distributed computing
  • 2+ years of experience with industry-recognized ML frameworks (scikit-learn, PyTorch, TensorFlow, Spark, Ray)
  • 1+ year of productionizing, monitoring, and maintaining models

Preferred Qualifications:

  • 1+ years of building, scaling, and optimizing ML systems
  • 1+ years of experience in data gathering and preparation for ML models
  • 2+ years of developing performant, resilient, and maintainable code
  • Experience with Azure for developing, deploying, and monitoring of production ML solutions
  • Advanced degree in computer science, electrical engineering, mathematics, or a related field

What We Offer:

  • A competitive compensation package that includes base pay, annual bonus, and long-term incentive opportunities
  • Opportunities for career growth and professional development
  • A dynamic and collaborative work environment
  • Comprehensive benefits package that supports physical, mental, and financial well-being

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