Senior Data Scientist

Profile\Requirements:

• Higher technical education. Experience in Deep Learning and Computer Vision 3-6 years.
• Stack: Linux, Bash, C++, Python, Tensorflow, PyTorch
• Mathematical knowledge: statistics, algorithms
• Classic ML & Computer Vision algorithms
• Modern ML/DL/CV (Semantic Segmentation, Instance Segmentation, Object Detection, TIme Series Analysis, GANs)
• Python (C++)
• OpenCV/scikit-learn/scikit-image
• PyTorch/Tensorflow(Keras)
• Ability and desire to read articles on modern ML/DL
• Ability to solve problems independently and propose solutions
• GIS (GDAL)

Will be a plus:

‍Airflow, MLflow, AWS, Spark, Docker, Kubernetes

Responsibilities:

• design, and development of neural networks
• neural networks server training
• neural networks optimization
• work with data
• deployment of neural networks in production
• analysis of scientific publications, testing of theories and hypotheses;
• documentation of performed activity

Other responsibilities:

• Analysis and recommendations for collection and improvement of datasets.
• Preparing data for training.
• Training of neural networks and analysis (evaluation) of the results.
• Perform a full cycle of model training.
• Development and optimization of algorithms for image processing (remote sensing)

Benefits:

• Competitive compensation (above market salary range) and equity in a rapidly-growing Climate Agtech start-up.
• Contribute your valuable time to a project dedicated to global environmental issues.
• Be a part of a team of talented and friendly senior-level developers.
• Work on projects that allow you to use cutting-edge tech. We believe in constantly evolving your mastery.
• Flexible schedules. Hybrid work from home and in the office.