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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 to address the unique challenges of the jewelry sector.
The Machine Learning Engineer will work remotely within the European timezone and will be part of a remote-first team that values innovation and collaboration.
The role involves leveraging cutting-edge 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 across teams, engaging with stakeholders, enhancing existing models, ensuring product health, introducing new technologies, staying ahead of trends, and innovating with advanced machine learning techniques.
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 of industry experience 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 mainstream big data tools like MapReduce, Spark, Flink, or Kafka is needed.
Extensive programming experience in Python, Go, or other object-oriented programming languages is required.
Familiarity with data structures, algorithms, and software engineering principles is necessary.
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 the company's success.
There are opportunities for career progression and professional development.
A competitive salary and benefits package is offered.