• Design, test, and implement pipelines for data analysis, data profiling, feature engineering, predictive modeling, and model deployment
• Design, test, and implement machine learning / artificial intelligence solutions on real-time platforms
• Simulation environment testing software modules
• Real-time testing of software modules
• Participate in reviews of own or others’ code and documentation
• Contribute to architecting and defining the specifications for different and future software modules

• B.S. Degree (preferably in Computer Science or Information Technology, or similar)
• Design and implementation experience in Big Data technologies (Spark, Kafka, NoSQL databases) and familiarity with data architecture patterns (data warehouse, data lake, streaming, Lambda/Kappa architecture
• Familiarity with a full range of data engineering approaches, covering theoretical best practices and the technical applications of these methods
• Experience with building and deploying a range of data engineering pipelines into production, including using automation best practices including CI/CD
• Familiarity with database and analytics technologies in the industry including Data Warehousing/ETL, Relational Databases, or MPP
• Experience with performance tuning, troubleshooting, and debugging Spark and/or other big data solutions
• Expertise programming in Python and/or Scala
• Experience using Git
• Flexible, eager, ambitious, and adaptable to change

• Start-up flair 
• Direct communication channels
• Flat hierarchies
• Permanent employment contract
• Cutting edge technologies and algorithms 
• A wide range of educational opportunities within our AdvancedAnalytics.Academy

Become a part of our mission and send us your application (resume, cover letter, references and certificates) including your availability and salary expectations straight away at careers@ai.associates. If you have any questions, please do not hesitate to contact us.

Did not find what you are looking for? We are always looking for people with passion and skills. Drop us a note and tell us why you have what it takes to revolutionize the AI industry – we would love to hear from you!