ML Engineer
Core
Design, build, and deploy machine learning models and systems for recommendation, forecasting, segmentation, and fraud detection in a high-scale eCommerce environment.
Role type
Senior Machine Learning Engineer (Production & MLOps)
Builds
Scalable ML services, recommendation systems, and AI-powered solutions for Marketing, Purchasing, Logistics, and Finance teams.
Domain
eCommerce, Retail, Machine Learning, Generative AI
Deliverable
production ML models
Required skills
Python, Machine Learning, MLOps, SQL, Cloud Platforms (GCP), Software Engineering Best Practices, LLMs & Generative AI
Preferred skills
Recommendation systems, ML Platforms (Vertex AI, Databricks), Streaming systems (Kafka), LLM Application Deployment
Technologies
Python, SQL, GCP (Vertex AI, BigQuery, Cloud Run), Git, CI/CD, Kafka, Pub/Sub, Vector Databases, RAG architectures
Responsibilities
Design and deploy ML models for business problems; Build reliable real-time and batch ML services; Develop MLOps pipelines for automation; Create robust feature engineering workflows; Implement model monitoring and optimization; Collaborate with cross-functional teams on AI opportunities.
Seniority
Senior, hands-on IC
