Remote Machine Learning Engineer

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Description:

  • Nivoda is a leading B2B diamond and gemstone marketplace that empowers jewelry retailers and gemstone suppliers.
  • The company has over 400 dedicated employees who have developed an award-winning platform for buying and selling diamonds securely and efficiently.
  • The Machine Learning Engineer will work remotely and be part of a team that values innovation and collaboration.
  • The role involves leveraging machine learning techniques to enhance the platform, optimize operations, and create new revenue streams.
  • Responsibilities include developing and deploying production-grade machine learning models, designing scalable ML products, collaborating with various teams, and enhancing existing models.
  • The engineer will also engage with stakeholders, monitor deployed models, introduce new technologies, and stay updated on machine learning trends.

Requirements:

  • A Bachelor’s degree in Computer Science or related fields is required.
  • Candidates should have 5+ years of industry experience with a Master’s degree or 3+ years with a PhD degree.
  • A solid theoretical background in machine learning and/or data mining is necessary.
  • Rich hands-on experience with production-grade machine learning solutions is essential.
  • Proficiency in mainstream ML libraries such as TensorFlow, PyTorch, or Spark ML is required.
  • Experience with big data tools like MapReduce, Spark, Flink, or Kafka is needed.
  • Extensive programming experience in Python, Go, or other OOP languages is mandatory.
  • Familiarity with data structures, algorithms, and software engineering principles is expected.
  • Proficiency in SQL and databases is required.
  • Strong communication and interpersonal skills to drive cross-functional partnerships are essential.

Benefits:

  • Employees will be part of a dynamic and rapidly growing company at the forefront of digital transformation.
  • The work environment is collaborative and innovative, allowing expertise to have a direct impact on success.
  • There are opportunities for career progression and professional development.
  • A competitive salary and benefits package is offered.
  • Employees enjoy an unlimited holiday allowance.
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