Position: Senior Machine Learning Engineer
Company: Proxify
Category: Lead
Experience required: 5y
English level: upper
Published: 2021-04-01T00:00:00+03:00

We are building a team of the best Senior ML Engineers. We currently have several Machine Learning projects soon starting. We are looking for Senior Machine Learning Engineers to join us on a remote basis.

**Requirements**
You have a Masters or Ph.D. in Computer Science, Physics, Engineering, Mathematics, or related field;
You have experience in the following fields: Computer Vision, Deep Learning and other Machine Learning methods, Object Detection, Few-Shot learning approaches, automated vegetative analysis and multi-spectral data analysis;
You have strong experience in coding with Python and related frameworks: NumPy, SciPy, SciKit-Learn, Pandas, Jupyter, PyTorch (or similar machine learning frameworks: TensorFlow, Keras, etc.);
You have experience in working as part of an Agile software development team with a focus on continuous delivery (ability to transfer experimental models into working solutions, and integrate them with existing systems is a must);
You have good communication and writing skills with a strong ability to translate leading edge research ideas into client facing propositions;
Upper-intermediate English level.

**Nice-to-have:**
Experience in working with large scalable systems in the cloud (AWS S3, Kubernetes, Docker, AWS SageMaker, AWS EC2);
Strong statistical data analysis and information visualisation skills (Matplotlib, Bokeh, Seaborn, Dash, etc.);
Experience in working with Geo-Spatial and LiDAR data (GeoJSON, GeoPandas, Shapely, GDAL, PDAL, Fiona, Laspy);
Experience in writing beautiful, straightforward, and easily maintainable code as part of a collaborative team (Git, RESTful APIs, etc.);
Timezone: CET (+/- 3 hours).

**Responsibilities:**
Build reusable code and libraries for future use;
Ensure the technical feasibility of UI/UX designs;
Transform visual designs and wireframes into working products;
Accurate planning of the feature delivery;
Collaborate with other team members and stakeholders.

**What we offer**
💻100% remote work (work from where you want);
💪We pay for overtime (over 8 hours);
👌🏻The ability to change the project to another one;
💵Competitive compensation and performance-based increases;
🧘🏻‍♂️Very flexible working schedule;
🚀Opportunities for professional development and personal growth;
🐕If you're based in Kiev and want to work from our office in the centre, you can come with your little friend.