Data Scientist with Computer Vision
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 https://youtu.be/1VTQ2b3fbb0
- A prototype of a virtual fitting room solution for a startup from Silicon Valley 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 and objects 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.
