AI Data Engineer with Scala

Description

• Building high-performing, scalable, enterprise-grade applications in cloud environment
• Working with Data Science teams to implement Machine Learning and statistical models into production. Ensure models operationalization, scalability and maintainability
• Application of knowledge on ML and Data frameworks and algorithms in practical implementations to build, train and maintain new models
• Creation of consumption-ready data for Data Science and ML solutions
• Design, delivery and management of industrialized data pipelines
• Generating and maintaining code according to the agreed coding standard and best practices
• Supporting the architect in determining the details of the proposed design`s implementation
• Implementation of core application features
• Gathering technical requirements & estimating planned work
• Communication with the client
• Creating technical documentation

Desired Candidate Profile

• At least 12 months of experience in Scala programming or solid experience in Java with willingness to work in Scala
• Very good knowledge of Object Oriented and Functional Programming
• Understanding of ML development lifecycle, model versioning, monitoring concepts
• Experience in data modeling
• Experience in working in one of leading cloud environments
• Good communication skills
• Ability to work in a team
• Ability & willingness to learn about new technology fast
• Fluency in written and spoken English
• Great problem-solving skills and critical thinking

Nice to have:

• Experience in designing and implementing data pipeline
• Knowledge of ML algorithms and techniques (i.e. Regression, Classification, Recommendation, Anomaly detection, NLP, Computer Vision, Neural Network)
• Good knowledge of Cloud Computing and Big Data
• MS Azure services. GCP, AWS
• Programing in Python, R, shell scripting
• Knowledge of AI Platform as a Service (Azure ML, Google AI, H2O, Data Robot)
• Big data technologies: Spark, Azure Databricks
• General DBs, ETL & DWH
• SQL
• Familiarity with git and knowledge of CI/CD

Perks and Benefits

• Innovative and challenging projects
• Freedom of action in the field entrusted
• Contributing to the rapidly expanding company
• International work environment standards
• Working for prestigious Fortune Global 500 brands
• Flexible working hours
• Remote work
• Friendly, non-corporate atmosphere