Data Intelligence - Earth Observation ML Engineer
Data Intelligence - Earth Observation ML Engineer
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Job Description
At HEMAV we are an AgriTech StartUp founded in 2012 working passionately on Data Science in the agrifood industry with the purpose of generating more food with less environmental impact.
We use a unique approach based on Artificial Intelligence using satellite technology and other data sources (drone meteo soil etc.). Users of our technology leverage their decisionmaking systems on information and knowledge generated on a fieldbyfield basis with customized peruser models.
The HEMAV family is currently composed by a team of around 40 persons with offices in Spain Brazil Argentina and the USA. We have around 50 regional partners distributed between more than 17 countries in Europe America and Africa. More than 5.000 users have access to the platform with service in 2 million Hectares.
HEMAV values are:
Teamwork: We are a familiy and fly and process together
Passion: We wake up every morning to change the world
Simplicity: Less is more. Technology should simplifies our lives not complicates it
Excellence: We pursue our best version and learn from our values
Integrity: What you see is what we are
Innovation: We have a creative attitude against challenges
LAYERS our software offers analytics to the agricultural sector with a large direct impact. For example clients can improve the efficiency in treatments (sowing fertilization irrigation etc.) and generate estimations in yield (tonnes per hectare) as well as quality estimates (e.g. soybeans protein quantity) for different crops. We know that producers the agroindustry itself or even insurance companies and traders in the agronomical sector are facing three main challenges with a large impact in their gross margin:
Crop Management
Production yield and logistics
Economical yield
Climate change risk assessment
LAYERS helps minimize these risks through a highquality continuous monitoring and predictions. We want to make LAYERS the core of all the yieldrelated
decisions in the agribusiness valuechain using data and statistics. Our slogan is
Reshaping the future increasing land efficiency
The LAYERS Product Team is the main area of the company where 14 persons are distributed in three squads: BackEnd Data Intelligence and UX/UI. Threefour weeks sprints are combined with sprint demos where all the company is updated with the
news in the product by all the members of the product team.
LAYERS is composed of a webapp and also a mobileapp. Our software constitutes the heart of the customer ecosystem where data analysis and prognosis is presented in an analytical and insightful web dashboard formats. Thanks to this our customers can monitor their crops and perform better business decisions in their agroindustrial companies.
Tasks
Position
What is your mission in HEMAV
Main goal of this position is to have a key role in the Earth Observation strategy and implementation with high emphasis on leveraging on Machine Learning combination with EO. Helping LAYERS users to move towards sustainable and more efficient agriculture.
Collaboration in the development software models repositories and continuously work in improving the Data infrastructure models and LAYERS products development. Exchanging information and knowledge with data scientists agronomists analysts and other experts in the company.
This mission is deeply linked with the design technology and thus the team involved in the application of software development spatiotemporal statistics agronomical knowledge and AI in Layers solution. Agronomic science statistics maths geographical information software development computer vision and other disciplines converge in the work of the whole team.
Global improvements in the use and impact of LAYERS will as well be part of the tasks this person will face.
Tasks
Specifically this person will:
Give support in the design planification and implementation of the LAYERS EO related developments so LAYERS can increase the value added to our clients.
Implement cropspecific solutions designed in collaboration with the agronomical and customer support team.
Design give feedback and eventually maintain the toolset and functional processes in the framework of the EO data handling and modelling following the coding standards and methodologies established.
Technical support to clients facing difficulties or defects detected by the Customer Success team or reported by clients.
General continuous improvement of LAYERS.
Continuous support to stakeholders in business and operations.
Responsibilities and functions:
Work on tasks related to Earth Observation and Data Science together with other experts on the field to develop and deploy tools and techniques that allow HEMAV to extract the maximum value for the users.
Join agile liturgies such as user stories refinement sprint planning daily meetings product reviews and retrospectives. Contact point with internal stakeholders in punctual cases related to developments carried out.
Time
This position is a maternity leave that will serve as test period after which the position will be permanent.
How will this role be evaluated
At HEMAV we work under the OKR framework within it there are:
Personal goals established with the manager
Team goals established with the Product Owner
Company goals
Location: BCN Timezone /3h 100% Remote Work
We are very happy with asynchronous work however we believe in teamwork and peer programming.
Anyway if you come to the BCN (Spain) area you will always be welcomed at the office :).
Requirements
Technical Skills
Professional experience in Satellite Data Processing (NtH Agrelated use cases) 5 years .
Professoinal experience in application of ML to EO (NtH Agrelated use cases) 2 yeras.
Satellite Data Processing
Atmospheric correction
vegetation ndices
image classification
Data Analysis:
Sentinel1 (SAR)
Sentinel2 (optical)
Landsat
Highresolution imagery (e.g. PlanetScope)
Spatiotemporal analysis
Remote sensing applied to agriculture.
Sentinel Hub API or similar
Sentinel Browser Evalscripts or similar
QGIS ArcGIS SNAP and Python libraries (Rasterio Geopandas GDAL).
Spatial Modeling
SQL
Python
Nice to have:
- Git
- Docker
- AWS Cloud technologies (Glue Athena Lambda...)
- MLFlow
- noSQL (AWS DynamoDB)
- Spatiotemporal data
- Time Series
- TDD
- PowerBI or similar
Soft Skill
- Fluent English
- Team player
- Agile methologies: comfortable working with user stories and liturgies.
- Resultoriented
- Qualityoriented
- Autonomous
- Benchmarking of new techniques and technologies related to the position
- Challenge lover
Benefits
Some of the things you should consider when joining our team are:
Young and friendly environment
Flexible workhours
100% remote work
Flexible remuneration system that adapts the salary to your needs
Extra holidays
Our hiring process has been refined along the time and includes the following steps:
1. Conversation with Product Owner to present the company and the position.
2. TechTalk with the team.
3. Basic exercise.
4. Onboarding.
Join HEMAV Technology a dynamic company with a talented team. As a EO ML Engineer youll have the opportunity to shape innovative solutions and make an impact. Apply now!
Employment Type
Full Time
