Not specified (assumed hybrid based on industry standards).
Python programming proficiency
Production ml pipeline management
Big data technologies like spark
Condé Nast is seeking a Machine Learning Engineer I for its Chennai office, responsible for managing production ML pipelines and collaborating with Data Scientists to develop and enhance ML-powered systems. The role requires strong technical skills in Python and experience with data processing frameworks, focusing on building reliable and scalable solutions
Job Summary
This role involves end-to-end ownership of ML-powered systems from design to deployment within Condé Nast's global recommendations platform.
The successful candidate will collaborate as an equal partner with Data Scientists to translate business requirements into robust engineering systems.
Candidates must demonstrate strong software engineering principles and the ability to optimize batch and near-real-time data processing pipelines.
Matching Summary
Match Score: 85
Condé Nast is seeking a Machine Learning Engineer I for its Chennai office, responsible for managing production ML pipelines and collaborating with Data Scientists to develop and enhance ML-powered systems. The role requires strong technical skills in Python and experience with data processing frameworks, focusing on building reliable and scalable solutions.
Skills & Requirements
Must-have
Python programming proficiency
Production ML pipeline management
Big data technologies like Spark
AWS cloud services experience
CI/CD implementation for ML
Nice-to-have
Kubernetes container orchestration
Airflow workflow orchestration
Real-time ML use case exposure
Recommendation system domain knowledge
MLflow experiment tracking tools
Key Requirements
2-4 years of software or ML engineering experience
Strong proficiency in Python and ML libraries
Hands-on experience with production data pipelines