Tech Stack

Description

You will transform data into actionable insights by developing innovative ML models and deploying them into production. Collaborate with cross-functional teams to solve complex business challenges, mentor junior engineers, and shape the future of E-commerce FMS through AI and ML technologies.

Requirements

• BSc in CS, Data Science, Statistics or related field (Master's a plus)
• 5+ years experience in ML or data science
• Proficiency in Python and SQL/NoSQL
• Knowledge of cloud technologies (AWS SageMaker) and MLOps tools (MLflow, Kubeflow)
• Experience with big data tools (Spark, Airflow) and model monitoring

Responsibilities

• Understand business cases and evaluate ML/AI solutions
• Analyze large datasets and translate into actionable insights
• Design, develop, implement, and test predictive ML models
• Deploy models into production and manage MLOps lifecycle
• Mentor junior machine learning engineers