Data & AI Engineer

Overview

At Nortal we believe in thinking big – creating solutions that have a meaningful, far-reaching impact, whether through digitizing governments, improved healthcare, convenient telecom services or creating a competitive edge and agility for large businesses, industry, and manufacturing companies. Our projects have touched more than half a billion people’s lives worldwide, and we’re just getting started. Combining that with the unique experience of transforming Estonia into a digital leader, our vision is to build a Seamless Society. 

To reach our ambitious goals, we are looking for a Data & AI Engineer.

Responsibilities

• You work on or own bachelor’s degree in data science, statistics, computer science, computer engineering , or a closely related field
• Have good communication skills (spoken and written) with fluent English as essential
• Have strong analytical and problem-solving skills
• Like a challenge of collaboration with globally distributed teams
• Articulates the high-level business value on projects
• Creates and maintains documentation of technical implementations and user stories
• Approve technical concepts of realizations
• Run an agile Scrum or Kanban process for a team when needed
• Diagnose, fix, and coordinate deployment of bug fixes . Troubleshoots problems with deployed systems.
• Coordinate evaluation of tools and frameworks for the data science team
• Ability to define and lead the execution of a data science PoC
• 5+ years of experience in the field
  
  
  

Qualifications

• Proficient knowledge of multiple programming languages (e.g., Python, R, Java, Scala, JavaScript, etc.)
• Proficient with SQL for extracting, aggregating and processing data
• Strong knowledge and experience of various data science frameworks and libraries (e.g., pandas, numpy, scikit-learn, TensorFlow, Keras, PyTorch, Apache Spark, AutoML libraries, etc.)
• Experience with using different Machine Learning/Data mining algorithms and statistical modelling, and their set up in production environment.
• Experience with different data storage solutions (SQL/NoSQL databases, data warehouses, data lakes, data mesh) and understanding when to use them.
• Experience with using cloud infrastructure (e.g., AWS, Azure, GCP) or similar ( strong knowledge of one of these providers )
• Proficient experience with different data visualizaton tools and libraries (e.g., Tableau, Power BI, Pentaho, Looker, ggplot2, matplotlib, Seaborn, Plot.ly, etc.)
• Experienced in using version control systems , preferably Git
  
  
  

Would Have Some Knowledge Of

• Big data technologies (e.g., Hadoop, Spark, Hive, Kafka)
• Data platforms (e.g., Snowflake)
• Orchestration tools (e.g., Airflow)
  
  
  

We like to say that Nortal is a right-sized company – big enough to undertake and impact influential projects yet small enough to care. At Nortal, your voice is heard, and everyone’s input matters. You solve critical problems for interesting customers from different domains. You work with experienced colleagues in a warm environment. You can execute your ideas in a reasonable time frame. And what you do and learn here are universally relevant and valuable. Last, but not least, Nortal is an agile company with low hierarchy – meaning heavy on common sense, light on rules, and substance is more important than titles!