Machine Learning Expert

15 hours ago

Kanpur, Uttar Pradesh, India beBeeMachine Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Description

Mercari is a global marketplace company founded in 2013 with a mission to create value in a global marketplace where anyone can buy & sell.

We have grown from being the first tech unicorn from Japan before our IPO in 2018 to becoming a global player. We continuously work towards our transformation journey with a strong focus on our mission.

To achieve our mission at Mercari, our organization and employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro, and Move Fast. Our organization is shaped by our four foundations: Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance.

Work Responsibilities
  • Machine learning engineers working in the Recommendation domain develop functions and services of the marketplace app through the development and maintenance of machine learning systems like Recommender systems while leveraging necessary infrastructure and companywide platform tools.
  • We apply advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning engineers use the cloud and Kubernetes to operate and improve machine learning systems.

Bold Challenges

  • We are looking for people interested in our services, mission, and values, who want to work where engineers can go bold, use the latest technology, make autonomous decisions, and take on challenges at a rapid pace.
  • Develop and optimize machine learning algorithms and models to enhance recommendation system to improve discovery experience of users.
  • Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that improve user engagement.
  • Conduct data analysis and experimentation with large-scale data sets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms.
  • Utilize machine learning frameworks and libraries to deploy scalable and efficient recommendation solutions.
  • Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
  • Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.
RequirementsMinimum 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 starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.
  • Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas).
  • Deep understanding of machine learning and software engineering fundamentals.
  • Basic knowledge and skills related to monitoring system, logging, and common operations in production environment.
  • Communication skills to carry out projects in collaboration with multiple teams and stakeholders.
Preferred Skills
  • Experience developing AI-based anomaly detection and content moderation systems.
  • Functional development and bug fixing skills necessary to improve system performance and reliability.
  • Experience with technology such as Docker and Kubernetes.
  • Experience with cloud platforms (AWS, GCP, Microsoft Azure, etc.).
  • Microservice development and operation experience with Docker and Kubernetes.
  • Utilizing deep learning models/LLMs in production.
  • Experience in publications at top-tier peer-reviewed conferences or journals.

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