Large Scale Machine Learning System Developer

12 hours ago

Amrāvati, Maharashtra, India beBeeMachineLearning Full time ₹ 1,20,00,000 - ₹ 2,50,00,000
Machine Learning Engineer Job Description

About Us

We are a global marketplace company with a mission to create value in a global marketplace where anyone can buy & sell. Our journey began in 2013, and we have since become a global player, continuously working towards our transformation journey with a strong focus on our mission.

Our services are utilized by people worldwide, requiring the capability of the best talent and minds. To achieve our mission, our organization shares the same values and perspectives.

Job Responsibilities:

  • Develop machine learning systems for the Recommendation domain, leveraging necessary infrastructure and companywide platform tools.
  • Apply advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace.

Key Challenges:

  • Develop and optimize machine learning algorithms and models to enhance recommendation system.
  • Collaborate with cross-functional teams to gather requirements and implement features that improve user engagement.
  • Conduct data analysis and experimentation to identify patterns, trends, and insights that drive the refinement of recommendation algorithms.
  • Utilize machine learning frameworks to deploy scalable and efficient recommendation solutions.
  • Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.

Requirements:

Minimum Requirements:

  • Over 2+ years of professional experience in end-to-end development of large-scale ML systems in production.
  • Strong experience demonstrating development and delivery of end-to-end machine learning solutions.
  • Experience using common machine learning frameworks and libraries.
  • Deep understanding of machine learning and software engineering fundamentals.
  • Basic knowledge and skills related to monitoring system, logging, and common operations in production environment.

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