Responsibility:

• Profiling tens of millions of customers with machine learning
• Design and tuning machine learning algorithms
• Design and implement frameworks to serve hundreds of models
• Around 50% time in research and 50% in development
• Create internal tools for monitoring, visualization and other automation process.

Requirements:

• Computer science or related background
• 3 years experience in software development, especially using Python as a programming language
• Experience with common Linux commands and Linux scripting languages
• Experience with Hadoop, MapReduce, HDFS and Big Data querying tools, such as Tez, Hive, and Impala
• Experience with machine learning projects
• Experience with data analysis and visualization.

Preferred:

• Experiences in web service development
• Solid knowledge of large volumes data processing
• Experience with machine learning libraries, such as TensorFlow, PyTorch, and Scikit-Learn
• Experience with NoSQL databases, such as HBase, Redis, CouchBase
• Familiar with data mining concepts and machine learning algorithms
• Experience with Spark and stream-processing systems
• Knowledge of various ETL techniques and frameworks, such as Flume