Experts, Data Science and Data Engineering

Founded in 1999, Wapice is a Finnish full-service software company. Our solutions are used by domain leading industrial companies around the world. We digitalize our clients’ business processes from the beginning to the end of the production chain, from sensor electronics to cloud services. We provide a digitalisation transformation for all areas of business including sales, product development, product maintenance and servicing, and ultimately the development of entire new digital business concepts. We employ 330 software and hardware experts and the company is doing constant profitable growth. Our offices are located in Vaasa, Tampere, Helsinki, Hyvinkää, Jyväskylä, Oulu, Seinäjoki and Turku. Data is the number one business driver in the 21st century, it gives us insights on improving operations and delivering personalized services to our customers. We at Wapice create state of the art AI powered solutions to enable our customer to reach their business goals and to stay ahead of the competition. We continuously look for new and innovative ways for our customers to extract insights from the large volumes of data they acquire. We provide our comprehensive services utilizing the latest computer vision, anomaly detection, prediction, natural language processing and data analytics technologies. We deploy our solutions to run reliably and seamlessly at the edge, cloud or local server platforms to accomplish high availability and performance requirements.

Data Scientist, Data Engineering and Edge AI positions

Experts needed for three different competence profiles: data engineering, edge AI, and data scientist. As Wapice expert you may concentrate on one of these fields or in the long run you may develop a competence profile covering skills on two or three above previously mentioned areas. Please read the following short descriptions of each specific role and related competence requirements to find out your suitability for the available expert positions.

As a Data Engineer you will work as a key contributor in building the success of our big data and data science projects. You know at least the basic principles of data processing. You are interested in the design of data platforms. Modernizing data warehousing and refining the data gathered from IoT devices are part of your tasks as well. You have solid knowledge of database design, SQL and star schema. You should have experience in building data pipelines, big data processes and you understand the challenges that a large amount of data may bring.

More specifically, you are familiar with couple of technologies listed below:

  • Python, SQL, Bash, Go, Java, Scala, C#
  • Data warehouse/data lake design and ETL processing
  • Data orchestration tools
  • Data processing tools
  • Relational databases
  • Non-relational data stores such as wide column store, document-storage, key-value storage
  • Cloud platforms (Azure, AWS, GCP from a data engineer’s perspective)
  • Docker

As an Edge AI expert you are familiar with edge architectures and edge calculation implementations covering entire DevOps pipeline, cloud integrations, analytics and utilizing machine learning models at the edge. You have experience in analysis of various sensor data in an embedded machine-learning environment. You are familiar with integrations of IoT device data to systems either in the cloud or at the edge. You understand how to design a solution around latency, bandwidth and cost considerations.

More specifically, you are familiar with couple of technologies listed below:

  • Linux
  • Nvidia Jetson Series, Edge TPU, Movidius, FPGA, ARM
  • OpenMV, TensorFlow Lite
  • AWS Greengrass, Azure IoT Edge, EdgeX Foundry
  • Docker, Kubernetes

As a Data Scientist you will be responsible for providing value from data by working in different customer projects. Work starts from understanding the customer’s data together with customers´ domain experts and setting hypotheses leading towards valuable results. You will be constantly deepening your theoretical knowledge by testing the results of the latest scientific research in practice and developing your software development skills by designing and implementing production ready AI solutions.

There are large amount of different technologies and concepts applied in data analytics. We expect you to have experience or strong will to learn some of the following:

  • Python C/C++
  • Linear Algebra, Multivariable calculus, Statistics, Signal Processing, machine learning
  • Experience in processing of video, audio, text, multivariate data and time series
  • Applied knowledge of object detectors, classification, clustering, anomaly detection, prediction, NLP
  • TensorFlow, Keras, PyTorch, Sklearn, OpenCV, Numpy

We offer you a unique opportunity to join our data scientists´ team to solve thrilling challenges in industrial domain, often using the state-of-the-art AI methods and practices. Read more and apply here.

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