Data Scientist with Computer Vision
We are looking for an ambitious Data Scientist looking to pursue a career developing and applying state-of-the-art algorithms in solving real-life problems to join us in our Warsaw or Bydgoszcz office, or remotely.
At deepsense.ai you will have the opportunity to take part in multiple fast-paced projects in various sectors and apply all sorts of machine learning techniques and models. You will be involved in building data processing pipelines, validation procedures and assessment routines to build reliable and performant models. You will work with novel architectures and propose your own solutions to produce outstanding results.
You will be part of the team of the AI and machine learning experts with a track record of delivering complex projects empowered by predictive modelling, computer vision, NLP, and reinforcement learning.
Have a look at some of our success stories, read our blog, or see some recent news.
If you have a solid STEM or data analysis background and are eager to work on data driven projects, don’t hesitate to apply.
We are currently looking for a Data Scientist specializing in Computer Vision.
Some of our recent CV-related projects include:
- Multi-object tracking of people in surveillance videos
(see: https://youtu.be/1VTQ2b3fbb0) - A prototype of a virtual fitting room solution for a startup from Silicon Valley
(see: https://youtu.be/HloNNIW1kx4) - An engine for visual understanding of industrial scenes captured by high-precision laser scanners (2D and 3D data)
- Aerial and satellite image analysis – semantic segmentation of multispectral photos, object detection
- And many more…
The successful applicant will have:
Computer Vision:
- Experience with deep learning algorithms applied to various areas of Computer Vision,
- Familiarity with popular architectures such as: ResNets, Mask R-CNN, YOLO,
- An understanding of transfer learning and popular augmentation techniques,
- Hands-on experience in tackling common computer vision tasks including image classification, detection, segmentation, face recognition, pose estimation, etc.
- Working knowledge of CV-related training procedures, validation techniques and datasets.
General ML:
- The ability to apply machine learning to real-life problems,
- Good knowledge of machine learning algorithms, model training, hyper parameter tuning,
- Working knowledge of deep learning models, loss functions, and performance measures,
- Strong Python skills, hands-on proficiency in using machine learning tools: Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras,
- The ability to share your knowledge and willingness to learn continuously,
- Good working knowledge of English (>B2 level).
We also welcome experience with/in:
- OpenCV
- NLP
- data visualization,
- building data processing pipelines, feature engineering and predictive models,
- using machine learning on big data.
We offer:
- The opportunity to learn from and work with seasoned developers with extensive professional experience,
- The opportunity to participate in Tech Talks (internal training sessions), conferences and workshops,
- Flexible working hours,
- An attractive benefits package (subsidized medical care, sports, frequent team-building events, fun room).
Big Data Engineer
We are looking for an ambitious Big Data Engineer who wants to pursue a career designing and developing large-scale data-processing systems.
At deepsense.ai you will have an opportunity to take part in multiple fast-paced projects involving the design and development of complex data-processing pipelines for customers from all industry sectors. You will work side by side with AI and machine learning experts in order to build end-to-end solutions, solving challenges regarding data representation and storage, transformation, streaming, analytics, performance profiling as well as automated deployment and testing.
If you have a solid software engineering background and are experienced in working with high volumes of data – don’t hesitate to apply.
You must have:
- intermediate proficiency in Java and Python,
- proficiency in Spark framework,
- basic understanding of REST,
- practical knowledge of Docker Kubernetes,
- good english communication skills,
- ability to share your knowledge,
- willingness to learn continuously,
- basic machine learning knowledge (regression, classification,
- clustering, validation methods, time series forecasting).
You may have:
- knowledge of Kafka platform,
- knowledge of Hadoop framework,
- basic programming skills in Scala/R,
- familiarity with ELK stack (Elasticsearch, Logstash, Kibana),
- knowledge of NoSQL databases (e.g. Cassandra, ELK),
Storm, Nginx technologies.
We offer:
- opportunity to learn from and work with seasoned developers, data scientist and machine learning experts,
- opportunity to participate in conferences and workshops around the world,
- opportunity to participate in the internal training sessions (Tech Talks),
- attractive benefits package including free lunches and well-equipped kitchens,
- subsidized medical care, sports, a fun room,
- frequent team-building events, a training budget and accountants assistance,
- flexible working hours,
- a good atmosphere among professionals working with passion,
- an attractive salary,
- subsidized english lessons with experienced native speakers english teachers.
