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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.