Python Job: Machine Learning Engineer (MLOps)

Machine Learning

Big Data

Python

Git

Docker

Jenkins

CI/CD

Apache Hadoop

Apache Hive

E-commerce

Agile

Scrum

• Automation of machine learning models in Big Data cluster
• Support of data science projects
• Design standards, and best practices for the development and deployment of data science projects
• Automation of integration and deployment (CI/CD) workflows
• Scale data science efforts
• Implementation of automation testing of machine learning artifacts, such as data validation, model testing, model integration testing
• Automation of machine learning lifecycle
• Promote an agile environment to implement and deliver data science projects.

• Experience in Python (Scikit-learn, Pandas, NumPy, XGBoost and matplotlib) or R (similar libraries)
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
• Machine learning end-to-end lifecycle
• Knowledge of applied statistics & machine learning techniques
• Demonstrable skills and experience using SQL with large data sets
• Experience with the BigData landscape to serve the different layers of a BigData pipeline
• Knowledge of Apache HDFS, Hive
• Experience of Spark and Map Reduce
• Experience supporting and working with cross-functional teams in a dynamic environment
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Good communication skills.

• Proven experience implementing CI/CD on large operational AI pipelines
• Experience with Data Science processes and technologies, including the Dataiku platform
• Experience with Machine Learning
• Experience in working in a SCRUM/ AGILE environment
• Experience working with cloud computing
• Understanding of one or more object-oriented programming languages (C#, Java, etc.)
• Knowledge of data integration processes
• Knowledge of Kafka data streaming (publishing and consuming coding).

• A unique experience in an entrepreneurial, yet structured environment
• The opportunity to become part of a highly professional and dynamic team working around the world
• An unparalleled personal and professional growth as our longer-term objective is to train the next generation of leaders for our future internet ventures.

• Attractive bonus scheme
• Free access to Udemy for Business for an unlimited training experience
• A great work-life balance: hybrid workweek; additional vacation day in December
• Caring perks: individual private health insurance, dental insurance, discounted gym membership, parental bonus
• Fun at work: company events, quarterly team building, drinks and snack.