Senior Machine Learning Engineer

5 days ago

Varanasi, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About us

We are a global marketplace company with a mission to create a platform where anyone can buy and sell.

Since our inception, we have grown our services by investing in people and technology. We have expanded from being a top player in the C2C marketplace in Japan to new geographies like the U.S. and launched new businesses such as a mobile payment service platform that aims to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment services but also on credit.

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

We invite you to read about our culture, which summarizes the behaviors and mindset shared by our company and its employees. We continue to build an environment where diverse backgrounds are accepted and recognized, and where members can thrive while holding dear to our company's culture.

Responsibilities:

  • Develop machine learning systems, including recommender systems, leveraging necessary infrastructure and companywide platform tools.
  • Use cloud and Kubernetes to operate and improve machine learning systems.

Key Challenges:

  • We seek individuals 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 and improve user experience.
  • Collaborate with cross-functional teams and product stakeholders to 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 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 feature effectiveness.
  • Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.

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.
Why choose us?

We offer a unique opportunity to work on cutting-edge technologies and collaborate with talented professionals in a dynamic and fast-paced environment. If you are passionate about machine learning and eager to take on new challenges, we encourage you to apply for this role.

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