Senior Machine Learning Engineer
Aiwyn- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, along with at least four years of experience in analytics. Proficiency in programming languages such as Python and C++, experience with version control, containers, VMs, and OpenCV techniques, and a strong understanding of data science techniques like multi-dimensional regression, SVMs, KNN, PCA, and clustering techniques are required. Familiarity with deep learning frameworks like TensorFlow, Keras, and PyTorch, and experience building and scaling CNNs, fine-tuning models like YOLO and R-CNN, and developing custom object detection/segmentation models from scratch is also necessary.
As a Senior Data Scientist, you will develop and deploy custom analytical models using machine learning, deep learning, and statistical inference, conduct exploratory data analysis and perform trend and cluster analysis on large datasets, identify and solve complex business problems using data-driven solutions, collaborate with cross-functional teams to implement and scale analytical models, write code to develop and test solutions, and fine-tune object detection/segmentation models from scratch.
Global retail chain offering affordable products
Walmart operates a chain of hypermarkets, discount department stores, and grocery stores, providing a wide variety of products at low prices to everyday consumers, families, and communities. The company combines physical retail locations with an e-commerce platform, allowing customers to shop for groceries, apparel, electronics, and household items both in-store and online. Walmart's efficient supply chain management and large-scale purchasing enable it to maintain affordability, setting it apart from competitors. The company also offers financial services and health and wellness services, including pharmacies and vision centers. Walmart's goal is to save people money and support communities, as demonstrated by its efforts during the COVID-19 pandemic and its commitment to social responsibility, including programs for veterans and military families.