Senior Machine Learning Engineer
Core
Develop robust machine learning models for the e-commerce domain, analyzing customer data and productionizing solutions to serve millions of shoppers.
Role type
Senior Machine Learning Engineer (Applied)
Builds
Production ML models and scalable data processing pipelines for e-commerce use cases.
Domain
E-commerce / Retail
Deliverable
production ML models
Required skills
Python, Linux, BigQuery, TensorFlow, Scikit-learn, Pytorch, Pandas, statistical analysis, statistical modeling, machine learning techniques, agile methodology, data mining, big data, deploying ML to production, building scalable data processing pipelines
Preferred skills
MSc or PhD, cloud platforms (GCP, AWS), end-to-end ML frameworks (Kubeflow, TF Extended, MLflow, Sagemaker Pipelines, VertexAI), serving ML models (TensorFlow Serving, KServe, Sagemaker Endpoints, VertexAI Endpoints), large-scale LLM prompt pipelines
Technologies
Python, AWS, Kafka, Redis, Docker, Kubernetes, IOT/MQTT, BigQuery, TensorFlow, Scikit-learn, PyTorch, Pandas, Kubeflow, TensorFlow Extended, MLflow, Sagemaker Pipelines, GCP VertexAI, Gemini Enterprise Agent Platform, TensorFlow Serving, KServe
Responsibilities
Analyze, build, evaluate, and productionize machine learning models; work with a firehose of customer data; brainstorm new ideas to solve specific use cases; participate in design and code reviews; keep abreast of developments in the machine learning domain.
Seniority
Senior, hands-on IC
