Job Description

Role: Machine Learning Scientist

Experience: 6-12 Years

What You'll Do

- Design and develop advanced machine learning and AI solutions using state-of-the-art techniques.

- Apply software engineering expertise to build and deploy scalable solutions capable of handling millions of requests per second with millisecond latency.

- Monitor and optimize models in production—identify and resolve issues to maintain the efficiency and reliability of ML systems.

- Collaborate with cross-functional teams, including product and engineering, to seamlessly integrate ML solutions.

- Enhance the shopping experience by leveraging cutting-edge models to predict customer preferences and deliver personalized recommendations.

What You'll Bring

- 4-6 years of experience in building and deploying ML products on cloud platforms.

- Strong background in machine learning and algorithms, with expertise in at least one of the following areas: supervised and unsupervised learning, reinforcement learning, deep learning, and generative AI.

- Experience in data preparation, including cleaning, transforming, and standardizing tabular and unstructured text data for ML models.

- Proficiency in Python with adequate SQL knowledge.

- Deep understanding of the model deployment lifecycle, including training and serving pipelines.

- Experience developing applications such as search and recommendation systems using frameworks like TensorFlow, Keras, PyTorch, MXNet, or ONNX.

- Familiarity with state-of-the-art sequence-to-sequence models and transformer-based architectures.