Head of Machine Learning

EOS Data Analytics is a software company that works in the commercial space niche, with the main office in the USA and development centers in Ukraine (Kyiv, Dnipro).

We are developing digital online platforms that utilize data from space, satellites and other sources for various purposes across numerous domains.

Using our custom algorithms, we create analytical solutions for business development to the challenges in agriculture, forestry, oil & gas, alternative energy, security and other space-related industries.

Our products:

• EOSDA Crop Monitoring, a satellite-driven online platform for precision agriculture.
• EOSDA LandViewer, an online tool for working with satellite data.
• Other platforms under NDA.

You will be working on one of our B2B products in a rapidly growing domain. Be ready to deal with exciting opportunities and discover new horizons together with us.

We are seeking a Head of Machine Learning to help develop our services and create scalable solutions for processing and visualizing satellite and analytical data on a new level. 

What you will be doing: 

• Building ML Direction Vision and Growth
• Logically connect - Analytics / Data / ML / AI / Tech - landscape of the company and on the market to create new solutions 
• Team Development and Management
• Roadmapping and planning 

What we expect: 

• 7+ years experience in ML/AI Development
• 3+ years experience in management 
• Full understanding of ML/AI development life-cycle (from experiments to production) 
• Strong communication and presentation skills 

Will be a plus: 

• Strong Understanding of Image Processing
• Skills in Behaviour Prediction Tasks 
• AWS Infrastructure and ML Capability (or another Cloud Technology)
• GIS skills 

What features business needs: 

• Multi-source Data Fusion
• AI/ML analytics insights generation
• Predictive Intelligence Models
• Intelligent Satellite Tasking
• Embedded Local AI Assistant
• Cognitive Decision support system 

We offer: 

🚀 Work on global products in the field of space technologies. 

👥 Mentoring, colleague support, and an open culture without micromanagement. 

🏖 20 paid vacation days, medical insurance, sick leave, compensation for sports, training, coworking. 

🌱 Continuous development: corporate library, internal meetups, conferences. 

💪 Social initiatives, charity projects, corporate events.

Health: 

• 20 working days of paid vacation
• 100% paid sick leave up to 30 days per year
• Medical insurance Sports compensation
• Coach / psychologist compensation
• Flexible start to the working day 

Support: 

• Compensation for expenses related to maintaining the work process (charging stations, power banks, network equipment, etc.) 
• Coworking compensation in locations where there are no company offices
• Company gifts for significant events (family creation, child birth) 
• Financial support in critical situations 

Development: 

• Compensation for learning foreign languages
• Compensation for training events (courses, conferences, etc.)
• Compensation for creative activities
• Compensation for children's development and leisure
• Access to the corporate library, online courses, lectures from Noosphere experts, ability to order necessary literature
• Opportunity to participate in internal knowledge-sharing meetups as a participant or speaker 

Outside of work: 

• Teambuilding, corporate events, quizzes
• Social activities initiated by our colleagues: help for Ukraine, support for special needs children, animal welfare, environmental initiatives. 

How we work: 

We value simplicity, efficiency, and initiative. 

Every engineer is part of a team that changes the way humanity looks at Earth from space.